FDA-FFNet: A Feature-Distance Attention-Based Change Detection Network for Remote Sensing Image-Reference-Cited by-同舟云学术

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FDA-FFNet: A Feature-Distance Attention-Based Change Detection Network for Remote Sensing Image

Published:2024 Issue: Volume:17 Page:2224-2233
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:

Peng Wenguang¹^ORCID,Shi Wenzhong²^ORCID,Zhang Min²^ORCID,Wang Lukang³^ORCID

Affiliation:

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

2. Smart Cities Research Institute, Hong Kong Polytechnic University, Hong Kong

3. School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China

Funder

Otto Poon Charitable Foundation Smart Cities Research Institute

Hong Kong Polytechnic University

Beijing Key Laboratory of Urban Spatial Information Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10365491.pdf?arnumber=10365491

Reference46 articles.

1. A review on change detection method and accuracy assessment for land use land cover

2. Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS

3. Land Use/Land Cover Change Detection and Urban Sprawl Analysis

4. Land use and land cover change detection and prediction in Bhutan's high altitude city of Thimphu, using cellular automata and Markov chain

5. Rapid Flood Mapping and Evaluation with a Supervised Classifier and Change Detection in Shouguang Using Sentinel-1 SAR and Sentinel-2 Optical Data

Cited by 1 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

1. WSMsFNet: Joint the Whole Supervision and Multiscale Fusion Network for Remote Sensing Image Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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