Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network

Recently, change detection methods for synthetic aperture radar (SAR) images based on convolutional neural networks (CNN) have gained increasing research attention. However, existing CNN-based methods neglect the interactions among multilayer convolutions, and errors involved in the preclassificatio...

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Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Meng, Desen, Gao, Feng, Dong, Junyu, Du, Qian, Heng-Chao, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Change detection Computer Science - Computer Vision and Pattern Recognition Labels Multilayers Optimization Radar detection Radar imaging Synthetic aperture radar
Online-Zugang:	Volltext
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