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Deep Learning Methods for Image Recognition in Remote Sensing

MCML Authors

Abstract

In this dissertation, we present solutions to various image recognition problems in remote sensing. Thereby, we harness the characteristics of remote sensing images and address specific challenges coming with remote sensing images. Overall, the methods presented in this dissertation cover the tasks of image classification, object detection, semantic segmentation, and change detection, as well as learning settings with full, incomplete, and noisy supervision. (Shortened).

phdthesis


Dissertation

LMU München. Dec. 2024

Authors

M. Bernhard

Links

DOI

Research Area

 A3 | Computational Models

BibTeXKey: Ber24

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