Deep Domain Adaptation in Earth Observation-Reference-Cited by-同舟云学术

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Deep Domain Adaptation in Earth Observation

Published:2021-08-20 Issue: Volume: Page:90-104
ISSN:
Container-title:Deep Learning for the Earth Sciences
language:
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Author:

Kellenberger Benjamin,Tasar Onur,Bhushan Damodaran Bharath,Courty Nicolas,Tuia Devis

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119646181.ch7

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Temporally transferable crop mapping with temporal encoding and deep learning augmentations;International Journal of Applied Earth Observation and Geoinformation;2024-05

2. GLGAT-CFSL: Global-Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery;IEEE Geoscience and Remote Sensing Letters;2024

4. Bayesian Joint Adaptation Network for Crop Mapping in the Absence of Mapping Year Ground-Truth Samples;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Time Series Analysis of Urban Liveability;2023 Joint Urban Remote Sensing Event (JURSE);2023-05-17

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