Research Group Xiaoxiang Zhu
Xiaoxiang Zhu
Prof. Dr.
Principal Investigator
Xiaoxiang Zhu
is Professor of Data Science in Earth Observation at TU Munich.
Her research focuses on signal processing and data science in earth observation. Geoinformation derived from Earth observation satellite data is indispensable for many scientific, governmental and planning tasks. Furthermore, Earth observation has arrived in the Big Data era with ESA’s Sentinel satellites and NewSpace companies. Professor Zhu develops explorative signal processing and machine learning algorithms, such as compressive sensing and deep learning, to improve information retrieval from remote sensing data, and to enable breakthroughs in geoscientific and environmental research. In particular, by the fusion of petabytes of EO data from satellite to social media, she aims at tackling challenges such as mapping of global urbanization.
Team members @MCML
PostDocs
Jiang He
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Matthias Kahl
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Andrea Reimuth
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Adam Stewart
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Yao Sun
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Xizhe Xue
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Jie Zhao
Dr.
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
PhD Students
Shanshan Bai
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Veronika Buchauer
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Sining Chen
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Zhaiyu Chen
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Ziqi Gu
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Adrian Höhl
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Nils Lehmann
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Chenying Liu
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Ivica Obadic
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Viola Steidl
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Qingsong Xu
→ Group Xiaoxiang Zhu
Data Science in Earth Observation
Recent News @MCML
Publications @MCML
2025
[98]
S. Ofori-Ampofo • R. S. Kuzu • P. Schauer • M. Willberg • A. Höhl • X. Zhu
On the strategy of exploring spatio-temporal information from Earth observation data for crop yield prediction.
Smart Agricultural Technology 12.101540. Dec. 2025. DOI
On the strategy of exploring spatio-temporal information from Earth observation data for crop yield prediction.
Smart Agricultural Technology 12.101540. Dec. 2025. DOI
[97]
S. Kondylatos • N. Bountos • D. Michail • X. Zhu • G. Camps-Valls • I. Papoutsis
On the Generalization of Representation Uncertainty in Earth Observation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. GitHub
On the Generalization of Representation Uncertainty in Earth Observation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. GitHub
[96]
Y. Wang • Z. Xiong • C. Liu • A. J. Stewart • T. Dujardin • N. I. Bountos • A. Zavras • F. Gerken • I. Papoutsis • L. Leal-Taixé • X. Zhu
Towards a Unified Copernicus Foundation Model for Earth Vision.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. GitHub
Towards a Unified Copernicus Foundation Model for Earth Vision.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. GitHub
[95]
C. Liu • G. Perantoni • L. Bruzzone • X. Zhu
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification.
Preprint (Oct. 2025).
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification.
Preprint (Oct. 2025).
[94]
X. Xue • X. Zhu
Regression in Earth Observation: Are vision–language models up to the challenge?
IEEE Geoscience and Remote Sensing Magazine Early Access. Sep. 2025. DOI GitHub
Regression in Earth Observation: Are vision–language models up to the challenge?
IEEE Geoscience and Remote Sensing Magazine Early Access. Sep. 2025. DOI GitHub
[93]
Z. Li • D. Muhtar • F. Gu • X. Zhang • P. Xiao • G. He • X. Zhu
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation.
ISPRS Journal of Photogrammetry and Remote Sensing 227. Sep. 2025. DOI GitHub
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation.
ISPRS Journal of Photogrammetry and Remote Sensing 227. Sep. 2025. DOI GitHub
[92]
S. Wang • X. Sun • J. Han • X. Zhu
RSCLIP for Training-Free Open-Vocabulary Remote Sensing Image Semantic Segmentation.
Preprint (Sep. 2025). DOI GitHub
RSCLIP for Training-Free Open-Vocabulary Remote Sensing Image Semantic Segmentation.
Preprint (Sep. 2025). DOI GitHub
[91]
A. Höhl • P. Höhn • X. Zhu
Terragon: A Unified Framework for Earth Observation Data Cube Generation.
The Journal of Open Source Software 10.114. Aug. 2025. DOI
Terragon: A Unified Framework for Earth Observation Data Cube Generation.
The Journal of Open Source Software 10.114. Aug. 2025. DOI
[90]
Z. Chen • Y. Wang • L. Nan • X. Zhu
Parametric Point Cloud Completion for Polygonal Surface Reconstruction.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub
Parametric Point Cloud Completion for Polygonal Surface Reconstruction.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub
[89]
L. Waldmann • A. Shah • Y. Wang • N. Lehmann • A. J. Stewart • Z. Xiong • X. Zhu • S. Bauer • J. Chuang
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation.
EARTHVISION @CVPR 2025 - Workshop EarthVision: Large Scale Computer Vision for Remote Sensing Imagery at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation.
EARTHVISION @CVPR 2025 - Workshop EarthVision: Large Scale Computer Vision for Remote Sensing Imagery at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI
[88]
D. Zhao • M. Asgarimehr • K. Heidler • J. Wickert • X. Zhu • L. Mou
Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Jun. 2025. DOI
Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Jun. 2025. DOI
[87]
X. Zhao • Z. Xiong • P. Karlshöfer • N. Tziolas • M. Wiesmeier • U. Heiden • X. Zhu
Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale.
International Journal of Applied Earth Observation and Geoinformation 140. Jun. 2025. DOI
Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale.
International Journal of Applied Earth Observation and Geoinformation 140. Jun. 2025. DOI
[86]
Q. Xu • L. F. De Vos • Y. Shi • N. Rüther • A. Bronstert • X. Zhu
Urban Flood Modeling and Forecasting with Deep Neural Operator and Transfer Learning.
Journal of Hydrology In Press, Journal Pre-proof.133705. Jun. 2025. DOI
Urban Flood Modeling and Forecasting with Deep Neural Operator and Transfer Learning.
Journal of Hydrology In Press, Journal Pre-proof.133705. Jun. 2025. DOI
[85]
S. Chen • Y. Shi • X. Zhu
Enhancing Monocular Height Estimation via Weak Supervision from Imperfect Labels.
Preprint (Jun. 2025). GitHub
Enhancing Monocular Height Estimation via Weak Supervision from Imperfect Labels.
Preprint (Jun. 2025). GitHub
[84]
S. Zhao • I. Prapas • Z. Xiong • I. Karasante • I. Papoutsis • G. Camps-Valls • X. Zhu
Causal Graph Neural Networks for Robust Wildfire Forecasting Across Geographic Shifts.
Preprint (Jun. 2025). DOI
Causal Graph Neural Networks for Robust Wildfire Forecasting Across Geographic Shifts.
Preprint (Jun. 2025). DOI
[83]
X. Zhu • S. Chen • F. Zhang • Y. Shi • Y. Wang
GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models.
Preprint (Jun. 2025).
GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models.
Preprint (Jun. 2025).
[82]
C. Schweden • K. Hechinger • G. Kauermann • X. Zhu
Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification.
IEEE Transactions on Geoscience and Remote Sensing 63. May. 2025. DOI
Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification.
IEEE Transactions on Geoscience and Remote Sensing 63. May. 2025. DOI
[81]
S. Wang • N. A. A. Braham • X. Zhu
Weak-strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing Early Access. May. 2025. DOI GitHub
Weak-strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing Early Access. May. 2025. DOI GitHub
[80]
S. Zhao • Z. Xiong • X. Zhu
RainScaler: A Physics-inspired Network for Precipitation Correction and Downscaling.
IEEE Transactions on Geoscience and Remote Sensing Early Access. May. 2025. DOI GitHub
RainScaler: A Physics-inspired Network for Precipitation Correction and Downscaling.
IEEE Transactions on Geoscience and Remote Sensing Early Access. May. 2025. DOI GitHub
[79]
Q. Li • L. Mou • Y. Shi • X. Zhu
BANet: A bilateral attention network for extracting changed buildings between remote sensing imagery and cadastral maps.
International Journal of Applied Earth Observation and Geoinformation 139.104486. May. 2025. DOI
BANet: A bilateral attention network for extracting changed buildings between remote sensing imagery and cadastral maps.
International Journal of Applied Earth Observation and Geoinformation 139.104486. May. 2025. DOI
[78]
Y. Mu • J. Guo • M. Shahzad • X. Zhu
National-scale tree species mapping with deep learning reveals forest management insights in Germany.
International Journal of Applied Earth Observation and Geoinformation 139.104522. May. 2025. DOI
National-scale tree species mapping with deep learning reveals forest management insights in Germany.
International Journal of Applied Earth Observation and Geoinformation 139.104522. May. 2025. DOI
[77]
Y. Mu • Z. Xiong • Y. Wang • M. Shahzad • F. Essl • M. Kleunen • X. Zhu
GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification.
Preprint (May. 2025).
GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification.
Preprint (May. 2025).
[76]
F. Zhang • Y. Shi • X. Zhu
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing.
Preprint (May. 2025). GitHub
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing.
Preprint (May. 2025). GitHub
[75]
S. Zhao • Z. Xiong • J. Zhao • X. Zhu
ExEBench: Benchmarking Foundation Models on Extreme Earth Events.
Preprint (May. 2025). GitHub
ExEBench: Benchmarking Foundation Models on Extreme Earth Events.
Preprint (May. 2025). GitHub
[74]
J. de Ruite • N. Sairam • A. Camero • K. Rafiezadeh Shahi • X. Zhu • M. W. Smith • H. Kreibich
The complex connection between flood risk and malaria dynamics in Sub-Saharan Africa.
EGU 2025 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 27-May 02, 2025. DOI
The complex connection between flood risk and malaria dynamics in Sub-Saharan Africa.
EGU 2025 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 27-May 02, 2025. DOI
[73]
S. Bai • A. Kruspe • X. Zhu
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets.
ECIR 2025 - 47th European Conference on Information Retrieval. Lucca, Italy, Apr 06-10, 2025. PDF
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets.
ECIR 2025 - 47th European Conference on Information Retrieval. Lucca, Italy, Apr 06-10, 2025. PDF
[72]
Q. Li • H. Taubenböck • X. Zhu
Identification of the potential for roof greening using remote sensing and deep learning.
Cities 159.105782. Apr. 2025. DOI
Identification of the potential for roof greening using remote sensing and deep learning.
Cities 159.105782. Apr. 2025. DOI
[71]
Z. Yuan • Z. Xiong • L. Mou • X. Zhu
ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models.
Earth System Science Data 17.3. Mar. 2025. DOI
ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models.
Earth System Science Data 17.3. Mar. 2025. DOI
[70]
S. Garske • K. Heidler • B. Evans • K. Wong • X. Zhu
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Mar. 2025. DOI GitHub
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Mar. 2025. DOI GitHub
[69]
C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 63. Mar. 2025. DOI GitHub
CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 63. Mar. 2025. DOI GitHub
[68]
Q. Xu • Y. Shi • J. Zhao • X. Zhu
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting.
Scientific Data 12.431. Mar. 2025. DOI
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting.
Scientific Data 12.431. Mar. 2025. DOI
[67]
I. Obadic • D. Kangin • D. Oliveira • P. Angelov • X. Zhu
i-WiViG: Interpretable Window Vision GNN.
Preprint (Mar. 2025).
i-WiViG: Interpretable Window Vision GNN.
Preprint (Mar. 2025).
[66]
Y. Mu • M. Shahzad • X. Zhu
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI
[65]
X.-Y. Tong • R. Dong • X. Zhu
Global high categorical resolution land cover mapping via weak supervision.
ISPRS Journal of Photogrammetry and Remote Sensing 220. Feb. 2025. DOI GitHub
Global high categorical resolution land cover mapping via weak supervision.
ISPRS Journal of Photogrammetry and Remote Sensing 220. Feb. 2025. DOI GitHub
[64]
V. Steidl • J. L. Bamber • X. Zhu
Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard.
The Cryosphere 19.2. Feb. 2025. DOI
Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard.
The Cryosphere 19.2. Feb. 2025. DOI
[63]
D. Racek • Q. Zhang • P. Thurner • X. Zhu • G. Kauermann
Unsupervised Detection of Building Destruction during War from Publicly Available Radar Satellite Imagery.
Preprint (Feb. 2025). DOI
Unsupervised Detection of Building Destruction during War from Publicly Available Radar Satellite Imagery.
Preprint (Feb. 2025). DOI
[62]
A. Zavras • D. Michail • X. Zhu • B. Demir • I. Papoutsis
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis.
Preprint (Feb. 2025).
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis.
Preprint (Feb. 2025).
[61]
W. Huang • Z. Gu • Y. Shi • Z. Xiong • X. Zhu
Semi-Supervised Building Footprint Extraction Using Debiased Pseudo-Labels.
IEEE Transactions on Geoscience and Remote Sensing 63. Jan. 2025. DOI GitHub
Semi-Supervised Building Footprint Extraction Using Debiased Pseudo-Labels.
IEEE Transactions on Geoscience and Remote Sensing 63. Jan. 2025. DOI GitHub
[60]
F. Fan • Y. Shi • T. Guggemos • X. Zhu
Hybrid Quantum Deep Learning With Superpixel Encoding for Earth Observation Data Classification.
IEEE Transactions on Neural Networks and Learning Systems Early Access. Jan. 2025. DOI URL
Hybrid Quantum Deep Learning With Superpixel Encoding for Earth Observation Data Classification.
IEEE Transactions on Neural Networks and Learning Systems Early Access. Jan. 2025. DOI URL
[59]
T. Li • S. Hofer • G. Moholdt • A. Igneczi • K. Heidler • X. Zhu • J. Bamber
Pervasive glacier retreats across Svalbard from 1985 to 2023.
Nature Communications 16.705. Jan. 2025. DOI
Pervasive glacier retreats across Svalbard from 1985 to 2023.
Nature Communications 16.705. Jan. 2025. DOI
2024
[58]
T. Beker • X. Zhu
Volcanic Deformation Monitoring utilizing Deep Learning and Wavelet Transform.
AGU 2024 - American Geophysical Union Annual Meeting. Washington D.C., USA, Dec 09-13, 2024. URL
Volcanic Deformation Monitoring utilizing Deep Learning and Wavelet Transform.
AGU 2024 - American Geophysical Union Annual Meeting. Washington D.C., USA, Dec 09-13, 2024. URL
[57]
A. Höhl • I. Obadic • M.-Á. Fernández-Torres • H. Najjar • D. Oliveira • Z. Akata • A. Dengel • X. Zhu
Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing.
IEEE Geoscience and Remote Sensing Magazine 12.4. Dec. 2024. DOI
Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing.
IEEE Geoscience and Remote Sensing Magazine 12.4. Dec. 2024. DOI
[56]
S. Zhao • Z. Chen • Z. Xiong • Y. Shi • S. Saha • X. Zhu
Beyond Grid Data: Exploring graph neural networks for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Dec. 2024. DOI
Beyond Grid Data: Exploring graph neural networks for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Dec. 2024. DOI
[55]
Z. Chen • Y. Shi • L. Nan • Z. Xiong • X. Zhu
PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds.
ISPRS Journal of Photogrammetry and Remote Sensing 218.A. Dec. 2024. DOI GitHub
PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds.
ISPRS Journal of Photogrammetry and Remote Sensing 218.A. Dec. 2024. DOI GitHub
[54]
Y. Wang • Q. Song • D. Wasif • M. Shahzad • C. Koller • J. Bamber • X. Zhu
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning.
Preprint (Dec. 2024). GitHub
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning.
Preprint (Dec. 2024). GitHub
[53]
X. Xue • G. Wei • H. Chen • H. Zhang • F. Lin • C. Shen • X. Zhu
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation.
Preprint (Dec. 2024).
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation.
Preprint (Dec. 2024).
[52]
Q. Li • S. Krapf • L. Mou • Y. Shi • X. Zhu
Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures.
Applied Energy 374.123839. Nov. 2024. DOI
Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures.
Applied Energy 374.123839. Nov. 2024. DOI
[51]
Y. Wang • H. Hernández Hernández • C. M. Albrecht • X. Zhu
Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Nov. 2024. DOI
Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Nov. 2024. DOI
[50]
Y. Yang • X. Sun • J. Dong • K.-M. Lam • X. Zhu
Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI GitHub
Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI GitHub
[49]
W. Yu • X. Zhang • R. Gloaguen • X. Zhu • P. Ghamisi
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI
[48]
Z. Xiong • F. Zhang • Y. Wang • Y. Shi • X. Zhu
EarthNets: Empowering artificial intelligence for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Oct. 2024. DOI GitHub
EarthNets: Empowering artificial intelligence for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Oct. 2024. DOI GitHub
[47]
Y. Wang • C. M. Albrecht • X. Zhu
Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
IEEE Transactions on Geoscience and Remote Sensing 62. Oct. 2024. DOI GitHub
Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
IEEE Transactions on Geoscience and Remote Sensing 62. Oct. 2024. DOI GitHub
[46]
Q. Xu • Y. Shi • J. Bamber • C. Ouyang • X. Zhu
Large-scale flood modeling and forecasting with FloodCast.
Water Research 264. Oct. 2024. DOI
Large-scale flood modeling and forecasting with FloodCast.
Water Research 264. Oct. 2024. DOI
[45]
W. Huang • Y. Shi • Z. Xiong • X. Zhu
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub
[44]
Y. Wang • C. M. Albrecht • N. A. A. Braham • C. Liu • Z. Xiong • X. Zhu
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub
[43]
K. Heidler • I. Nitze • G. Grosse • X. Zhu
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic.
IEEE Transactions on Geoscience and Remote Sensing 62. Aug. 2024. DOI
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic.
IEEE Transactions on Geoscience and Remote Sensing 62. Aug. 2024. DOI
[42]
F. Xu • Y. • W. Yang • G.-S. Xia • X. Zhu
CloudSeg: A multi-modal learning framework for robust land cover mapping under cloudy conditions.
ISPRS Journal of Photogrammetry and Remote Sensing 214. Aug. 2024. DOI GitHub
CloudSeg: A multi-modal learning framework for robust land cover mapping under cloudy conditions.
ISPRS Journal of Photogrammetry and Remote Sensing 214. Aug. 2024. DOI GitHub
[41]
J. Eudaric • H. Kreibich • A. Camero • K. R. Shahi • S. Martinis • X. Zhu
A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness.
Scientific Reports 14.19290. Aug. 2024. DOI
A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness.
Scientific Reports 14.19290. Aug. 2024. DOI
[40]
F. Fan • Y. Shi • X. Zhu
Land Cover Classification From Sentinel-2 Images With Quantum-Classical Convolutional Neural Networks.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17. Jul. 2024. DOI
Land Cover Classification From Sentinel-2 Images With Quantum-Classical Convolutional Neural Networks.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17. Jul. 2024. DOI
[39]
Z. Xiong • S. Chen • Y. Shi • X. Zhu
Self-Supervised Pretraining With Monocular Height Estimation for Semantic Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub
Self-Supervised Pretraining With Monocular Height Estimation for Semantic Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub
[38]
W. Yu • X. Zhang • S. Das • X. Zhu • P. Ghamisi
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub
[37]
F. Fan • Y. Shi • X. Zhu
Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model.
CEC 2024 - IEEE Congress on Evolutionary Computation. Yokohama, Japan, Jun 30-Jul 05, 2024. DOI
Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model.
CEC 2024 - IEEE Congress on Evolutionary Computation. Yokohama, Japan, Jun 30-Jul 05, 2024. DOI
[36]
A. Höhl • I. Obadic • M.-Á. Fernández-Torres • D. Oliveira • X. Zhu;
Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. URL
Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. URL
[35]
I. Obadic • A. Levering • L. Pennig • D. Oliveira • D. Marcos • X. Zhu
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI
[34]
C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI
[33]
Z. Yuan • L. Mou; • Y. Hua • X. Zhu
Referring Image Segmentation for Remote Sensing Data.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI
Referring Image Segmentation for Remote Sensing Data.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI
[32]
Q. Zhang • Y. Wang • X. Zhu
Deep-Learning-Based Large-Scale Forest Height Generation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI
Deep-Learning-Based Large-Scale Forest Height Generation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI
[31]
X. Li • C. Wen • Y. Hu • Z. Yuan • X. Zhu
Vision-Language Models in Remote Sensing: Current progress and future trends.
IEEE Geoscience and Remote Sensing Magazine 12.2. Jun. 2024. DOI
Vision-Language Models in Remote Sensing: Current progress and future trends.
IEEE Geoscience and Remote Sensing Magazine 12.2. Jun. 2024. DOI
[30]
J. Guo • D. Hong • Z. Liu • X. Zhu
Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI
Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI
[29]
W. Huang • Y. Shi • Z. Xiong • X. Zhu
Decouple and weight semi-supervised semantic segmentation of remote sensing images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI GitHub
Decouple and weight semi-supervised semantic segmentation of remote sensing images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI GitHub
[28]
C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
[27]
S. Zhao • I. Prapas • I. Karasante • Z. Xiong • I. Papoutsis • G. Camps-Valls • X. Zhu
Causal Graph Neural Networks for Wildfire Danger Prediction.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
Causal Graph Neural Networks for Wildfire Danger Prediction.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
[26]
K. Hechinger • C. Koller • X. Zhu • G. Kauermann
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty.
Preprint (May. 2024).
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty.
Preprint (May. 2024).
[25]
X. Zhu • Z. Xiong • Y. Wang • A. J. Stewart • K. Heidler • Y. Wang • Z. Yuan • T. Dujardin • Q. Xu • Y. Shi
On the Foundations of Earth and Climate Foundation Models.
Preprint (May. 2024).
On the Foundations of Earth and Climate Foundation Models.
Preprint (May. 2024).
[24]
J. Eudaric • A. Camero • K. Rafiezadeh Shahi • H. Kreibich • S. Martinis • X. Zhu
Rapid unsupervised economic assessment of urban flood damage using SAR images.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI
Rapid unsupervised economic assessment of urban flood damage using SAR images.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI
[23]
Y. Mu • M. Shahzad • X. Zhu
A spectral-spatial-temporal attention network for tree species mapping using DESIS hyperspectral imagery.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI
A spectral-spatial-temporal attention network for tree species mapping using DESIS hyperspectral imagery.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI
[22]
C. Koller • P. Jung • X. Zhu
Can Land Cover Classification Models Benefit From Distance-Aware Architectures?
IEEE Geoscience and Remote Sensing Magazine 21. Apr. 2024. DOI GitHub
Can Land Cover Classification Models Benefit From Distance-Aware Architectures?
IEEE Geoscience and Remote Sensing Magazine 21. Apr. 2024. DOI GitHub
[21]
K. Qian • Y. Wang • P. Jung • Y. Shi • X. Zhu
HyperLISTA-ABT: An Ultralight Unfolded Network for Accurate Multicomponent Differential Tomographic SAR Inversion.
IEEE Transactions on Geoscience and Remote Sensing 62. Apr. 2024. DOI
HyperLISTA-ABT: An Ultralight Unfolded Network for Accurate Multicomponent Differential Tomographic SAR Inversion.
IEEE Transactions on Geoscience and Remote Sensing 62. Apr. 2024. DOI
[20]
S. Doda • M. Kahl • K. Ouan • I. Obadic • Y. Wang • H. Taubenböck • X. Zhu
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data.
International Journal of Applied Earth Observation and Geoinformation 128. Apr. 2024. DOI
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data.
International Journal of Applied Earth Observation and Geoinformation 128. Apr. 2024. DOI
[19]
J. Guo • D. Hong • X. Zhu
High-resolution satellite images reveal the prevalent positive indirect impact of urbanization on urban tree canopy coverage in South America.
Landscape and Urban Planning 247. Apr. 2024. DOI
High-resolution satellite images reveal the prevalent positive indirect impact of urbanization on urban tree canopy coverage in South America.
Landscape and Urban Planning 247. Apr. 2024. DOI
[18]
Y. Mu • J. Guo • M. Shahzad • X. Zhu
Nationwide Tree Species Mapping in Germany with Forestformer: Assessing Forest Resilience and Unveiling Distribution Patterns.
Preprint (Apr. 2024). DOI
Nationwide Tree Species Mapping in Germany with Forestformer: Assessing Forest Resilience and Unveiling Distribution Patterns.
Preprint (Apr. 2024). DOI
[17]
Z. Xiong • F. Zhang • Y. Wang • Y. Shi • X. Zhu
EarthNets: Empowering AI in Earth Observation.
Preprint (Apr. 2024). GitHub
EarthNets: Empowering AI in Earth Observation.
Preprint (Apr. 2024). GitHub
[16]
X. Zhu • Q. Li • Y. Shi • Y. Wang • A. J. Stewart • J. Prexl
GlobalBuildingMap -- Unveiling the Mystery of Global Buildings.
Preprint (Apr. 2024).
GlobalBuildingMap -- Unveiling the Mystery of Global Buildings.
Preprint (Apr. 2024).
[15]
X. Zhu • Y. Zeng • J. Guo
Enhancing the Understanding of Urban Green Space Cooling Effects in China's Major Cities with a Sub-Meter Dataset.
Preprint (Apr. 2024). DOI
Enhancing the Understanding of Urban Green Space Cooling Effects in China's Major Cities with a Sub-Meter Dataset.
Preprint (Apr. 2024). DOI
[14]
Q. Li • L. Mou • Y. Sun • Y. Hua • Y. Shi • X. Zhu
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI
[13]
Z. Yuan • L. Mou • Y. Hua • X. Zhu
RRSIS: Referring Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI GitHub
RRSIS: Referring Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI GitHub
[12]
Z. Xiong • Y. Wang • F. Zhang • A. J. Stewart • J. Hanna • D. Borth • I. Papoutsis • B. Le Saux • G. Camps-Valls • X. Zhu
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation.
Preprint (Mar. 2024).
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation.
Preprint (Mar. 2024).
[11]
T. Li • K. Heidler • L. Mou • Á. Ignéczi • X. Zhu • J. L. Bamber
A high-resolution calving front data product for marine-terminating glaciers in Svalbard.
Earth System Science Data 16.2. Feb. 2024. DOI
A high-resolution calving front data product for marine-terminating glaciers in Svalbard.
Earth System Science Data 16.2. Feb. 2024. DOI
[10]
Y. Xie • X. Yuan • X. Zhu • J. Tian
Multimodal Co-Learning for Building Change Detection: A Domain Adaptation Framework Using VHR Images and Digital Surface Models.
IEEE Transactions on Geoscience and Remote Sensing 62. Feb. 2024. DOI
Multimodal Co-Learning for Building Change Detection: A Domain Adaptation Framework Using VHR Images and Digital Surface Models.
IEEE Transactions on Geoscience and Remote Sensing 62. Feb. 2024. DOI
[9]
F. Zhang • Y. Shi • Z. Xiong • X. Zhu
Few-Shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects.
IEEE Transactions on Geoscience and Remote Sensing 62. Jan. 2024. DOI GitHub
Few-Shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects.
IEEE Transactions on Geoscience and Remote Sensing 62. Jan. 2024. DOI GitHub
2023
[8]
S. Šćepanović • I. Obadic • S. Joglekar • L. Giustarini • C. Nattero • D. Quercia • X. Zhu
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
[7]
F. Xu • Y. Shi • P. Ebel • W. Yang • X. Zhu
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub
[6]
F. Fan • Y. Shi • T. Guggemos • X. Zhu
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification.
IEEE Transactions on Neural Networks and Learning Systems 35.12. Dec. 2023. DOI URL
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification.
IEEE Transactions on Neural Networks and Learning Systems 35.12. Dec. 2023. DOI URL
[5]
T. Beker • H. Ansari • S. Montazeri • Q. Song • X. Zhu
Deep Learning for Subtle Volcanic Deformation Detection With InSAR Data in Central Volcanic Zone.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI
Deep Learning for Subtle Volcanic Deformation Detection With InSAR Data in Central Volcanic Zone.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI
[4]
S. Chen • Y. Shi • Z. Xiong • X. Zhu
HTC-DC Net: Monocular Height Estimation From Single Remote Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub
HTC-DC Net: Monocular Height Estimation From Single Remote Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub
[3]
F. Zhou • X. Sun • C. Sun • J. Dong • X. Zhu
Adaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub
Adaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub
[2]
Q. Xu • Y. Shi • J. Bamber • Y. Tuo • R. Ludwig • X. Zhu
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology.
Preprint (Oct. 2023). GitHub
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology.
Preprint (Oct. 2023). GitHub
2022
[1]
I. Obadic • R. Roscher • D. A. B. Oliveira • X. Zhu
Exploring Self-Attention for Crop-type Classification Explainability.
Preprint (Oct. 2022).
Exploring Self-Attention for Crop-type Classification Explainability.
Preprint (Oct. 2022).
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