Adaptive Self-Paced Collaborative and 3-D Adversarial Multitask Network for Semantic Change Detection Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery-Reference-Cited by-同舟云学术

Adaptive Self-Paced Collaborative and 3-D Adversarial Multitask Network for Semantic Change Detection Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery

Published:2024 Issue: Volume:17 Page:2777-2788
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Wen Dawei¹^ORCID,Huang Xin²^ORCID,Yang Qiquan³^ORCID,Tang Jianqin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China

2. School of Remote Sensing and Information Engineering, The Hubei Luojia Laboratory, Wuhan University, Wuhan, China

3. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

Science Foundation Research Project of Wuhan Institute of Technology of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10378854.pdf?arnumber=10378854

Reference54 articles.

1. A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges

2. SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images

3. A Comparison of Four Algorithms for Change Detection in an Urban Environment

4. A Novel Theoretical Framework for Unsupervised Change Detection Based on CVA in Polar Domain

5. PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data