SDC-GAE: Structural Difference Compensation Graph Autoencoder for Unsupervised Multimodal Change Detection-Reference-Cited by-同舟云学术

SDC-GAE: Structural Difference Compensation Graph Autoencoder for Unsupervised Multimodal Change Detection

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:

Han Te¹^ORCID,Tang Yuqi¹^ORCID,Chen Yuzeng²^ORCID,Yang Xin¹,Guo Yuqiang¹,Jiang Shujing³

Affiliation:

1. School of Geosciences and Info-Physics, Central South University, Changsha, China

2. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

3. Guangzhou Urban Planning & Design Survey Research Institute and the Collaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou, Guangzhou, China

Funder

National Natural Science Foundation of China

Scientific Research Innovation Project for Graduate Students in Hunan Province

Research Project on Monitoring and Early Warning Technologies for Implementation of Land Use Planning in Guangzhou City

Collaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10517637.pdf?arnumber=10517637

Reference60 articles.

1. A review of large area monitoring of land cover change using Landsat data

2. Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

3. Object-oriented change detection based on the Kolmogorov–Smirnov test using high-resolution multispectral imagery

4. Urban Change Analysis with Multi-Sensor Multispectral Imagery

5. Deep learning for change detection in remote sensing: a review