SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection

Author:

Wang Jiahao1ORCID,Liu Fang1ORCID,Jiao Licheng1ORCID,Wang Hao1,Yang Hua1ORCID,Liu Xu1ORCID,Li Lingling1ORCID,Chen Puhua1ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi'an, China

Funder

National Natural Science Foundation of China

Key Research and Development Program in Shaanxi Province of China

State Key Program of National Natural Science of China

Program for Cheung Kong Scholars and Innovative Research Team in University

The Fund for Foreign Scholars in University Research and Teaching Programs

Key Scientific Technological Innovation Research Project by Ministry of Education

National Key Research and Development Program of China

CAAI Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference66 articles.

1. High-Resolution Remote Sensing Images Change Detection with Siamese Holistically-Guided FCN

2. ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images

3. Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images

4. Remote sensing change detection based on multidirectional adaptive feature fusion and perceptual similarity;xu;Remote Sens,2021

5. Sentinel-1 and sentinel-2 data fusion for urban change detection using a dual stream U-net;hafner;IEEE Geosci Remote Sens Lett,2021

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1. Mask-Guided Local–Global Attentive Network for Change Detection in Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. AFPF-Net: Adjacent-Level Feature Progressive Fusion Full Convolutional Network for Remote Sensing Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024

4. UNet-Like Remote Sensing Change Detection: A review of current models and research directions;IEEE Geoscience and Remote Sensing Magazine;2024

5. Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks;IEEE Transactions on Geoscience and Remote Sensing;2024

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