Adaptive Feature Weighted Fusion Nested U-Net with Discrete Wavelet Transform for Change Detection of High-Resolution Remote Sensing Images

The characteristics of a wide variety of scales about objects and complex texture features of high-resolution remote sensing images make deep learning-based change detection methods the mainstream method. However, existing deep learning methods have problems with spatial information loss and insuffi...

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Principais autores:	Congcong Wang, Wenbin Sun, Deqin Fan, Xiaoding Liu, Zhi Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-12-01
coleção:	Remote Sensing
Assuntos:	change detection 2-dimensional discrete wavelet transform feature fusion high-resolution remote sensing images
Acesso em linha:	https://www.mdpi.com/2072-4292/13/24/4971
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