BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment-Reference-Cited by-同舟云学术

BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Haotian¹^ORCID,Chen Hao²^ORCID,Zhou Chenyao¹^ORCID,Chen Keyan¹^ORCID,Liu Chenyang¹^ORCID,Zou Zhengxia²^ORCID,Shi Zhenwei¹^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics, and the State Key Laboratory of Virtual Reality Technology and Systems, 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/ielx7/36/10354519/10471555.pdf?arnumber=10471555

Reference70 articles.

1. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

2. Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection

3. Simple Multiscale UNet for Change Detection With Heterogeneous Remote Sensing Images

4. RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model

5. A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions

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