Concatenated Deep-Learning Framework for Multitask Change Detection of Optical and SAR Images-Reference-Cited by-同舟云学术

Concatenated Deep-Learning Framework for Multitask Change Detection of Optical and SAR Images

Published:2024 Issue: Volume:17 Page:719-731
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:

Du Zhengshun¹^ORCID,Li Xinghua¹^ORCID,Miao Jianhao¹^ORCID,Huang Yanyuan¹^ORCID,Shen Huanfeng²^ORCID,Zhang Liangpei³^ORCID

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. School of Resource and Environment Sciences, Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation

Ministry of Natural Resources

Open Research Project

Hubei Key Laboratory of Intelligent Geo-Information Processing

Open Fund of Hubei Luojia Laboratory

Fundamental Research Funds for the Central Universities

Knowledge Innovation Program of Wuhan–Shuguang Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference46 articles.

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献