SAR Image Change Detection based on Multi-scale Feature Guided Residual CNN-Reference-Cited by-同舟云学术

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SAR Image Change Detection based on Multi-scale Feature Guided Residual CNN

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Computation, Communication and Engineering (ICCCE)
language:
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Author:

Zhao Guangwei¹,Wu Haitao¹,Li Huyong¹,Liu Fang¹,Zhu Yuxiang¹,Shen Lin²,Wang Li²

Affiliation:

1. College of Computer and Artificial Intelligence, Huanghuai University,Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots & Henan Provincial Key Laboratory of Smart Lighting,Zhumadian,China

2. College of Mathematics and Statistics, Huanghuai University,Zhumadian,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10036126/10036192/10036229.pdf?arnumber=10036229

Reference15 articles.

1. Remote Sensing Image Change Detection Algorithm Based on BM3D and PCANet

2. Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet

3. Robust unsupervised small area change detection from SAR imagery using deep learning

4. Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks

5. PCANet: A Simple Deep Learning Baseline for Image Classification?

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. Multi-scale Feature Fusion Network with Transformer for Change Detection of Remote Sensing Images;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

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