Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection

Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection

Hyperspectral image (HSI) change detection plays an important role in remote sensing applications, and considerable research has been done focused on improving change detection performance. However, the high dimension of hyperspectral data makes it hard to extract discriminative features for hypersp...

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Bibliographic Details
Main Authors:	Xuelong Li, Zhenghang Yuan, Qi Wang
Format:	Article
Language:	English
Published:	MDPI AG 2019-01-01
Series:	Remote Sensing
Subjects:	hyperspectral images (HSI) change detection deep learning convolutional neural networks (CNN) noise modeling
Online Access:	https://www.mdpi.com/2072-4292/11/3/258

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