MDFENet: A Multiscale Difference Feature Enhancement Network for Remote Sensing Change Detection

Author:

Li Hao1,Liu Xiaoyong2ORCID,Li Huihui3ORCID,Dong Ziyang1,Xiao Xiangling1ORCID

Affiliation:

1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

2. School of Data Science and Engineering, Guangdong Polytechnic Normal University, Guangzhou, China

3. School of Computer Science and Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou, China

Funder

National Natural Science Foundation of China

The Ministry of education of Humanities and Social Science

Guangdong Science and Technology Project

Project of Education Department of Guangdong Province

Project of Guangdong Polytechnic Normal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference67 articles.

1. Deep Residual Learning for Image Recognition

2. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc Int Conf Mach Learn,0

3. Detecting Large-Scale Urban Land Cover Changes from Very High Resolution Remote Sensing Images Using CNN-Based Classification

4. TransCD: scene change detection via transformer-based architecture

5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervention,0

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1. CAS-Net: Comparison-Based Attention Siamese Network for Change Detection With an Open High-Resolution UAV Image Dataset;IEEE Transactions on Geoscience and Remote Sensing;2024

2. LRDE-Net: Large Receptive Field and Image Difference Enhancement Network for Remote Sensing Images Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Multiview Hypergraph Fusion Network for Change Detection in High-Resolution Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Unsupervised Difference-Guided Adaptive Fusion Network for Change Detection in PolSAR Images;IEEE Transactions on Geoscience and Remote Sensing;2024

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