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Kondmann, Lukas (2023) Deep Learning for Time-Series Analysis of Optical Satellite Imagery. Dissertation, Technical University Munich.
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Official URL: https://mediatum.ub.tum.de/?id=1705991
Abstract
In this cumulative thesis, I cover four papers on time-series analysis of optical satellite imagery. The contribution is split into two parts. The first one introduces DENETHOR and DynamicEarthNet, two landmark datasets with high-quality ground truth data for agricultural monitoring and change detection. Second, I introduce SiROC and SemiSiROC, two methodological contributions to label-efficient change detection.
| Item URL in elib: | https://elib.dlr.de/199713/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | Deep Learning for Time-Series Analysis of Optical Satellite Imagery | ||||||||
| Authors: |
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| Date: | 24 April 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 140 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Change detection, agricultural monitoring | ||||||||
| Institution: | Technical University Munich | ||||||||
| Department: | TUM School of Engineering and Design | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Artificial Intelligence | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||
| Deposited By: | Camero, Dr Andres | ||||||||
| Deposited On: | 28 Nov 2023 12:47 | ||||||||
| Last Modified: | 28 Nov 2023 12:47 |
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