Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss-Reference-Cited by-同舟云学术

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Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xu Yuqi¹,Wu Ling¹^ORCID,Liu Xiangnan¹^ORCID,Chen Chen²,Li Yiman¹,Zhang Qian¹,Liu Meiling¹^ORCID,Zhang Tingwei¹,Yang Baowen¹^ORCID

Affiliation:

1. School of Information Engineering, China University of Geoscience (Beijing), Beijing, China

2. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of the People’s Republic of China, Beijing, China

Funder

Key Laboratory of Land Satellite Remote Sensing Application, Ministry of Natural Resources of the People’s Republic of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10507055.pdf?arnumber=10507055

Reference65 articles.

1. Review Article Digital change detection techniques using remotely-sensed data

2. Change detection techniques

3. Siamese Detail Difference and Self-Inverse Network for Forest Cover Change Extraction Based on Landsat 8 OLI Satellite Images

4. Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

5. Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods

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