Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis-Reference-Cited by-同舟云学术

Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Chenyang¹^ORCID,Chen Keyan²^ORCID,Zhang Haotian²^ORCID,Qi Zipeng²^ORCID,Zou Zhengxia²^ORCID,Shi Zhenwei²^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics,Beijing Key Laboratory of Digital Media, the State Key Laboratory of Virtual Reality Technology and Systems, and the Shen Yuan Honors College, Beihang University, Beijing, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10591792.pdf?arnumber=10591792

Reference83 articles.

1. Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective

2. Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images

3. Remote Sensing Change Detection With Transformers Trained From Scratch

4. DiFormer: A Difference Transformer Network for Remote Sensing Change Detection

5. Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms

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