Bilateral Filter Regularized L2 Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

Bilateral Filter Regularized L2 Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

Hyperspectral unmixing (HU) is one of the most active hyperspectral image (HSI) processing research fields, which aims to identify the materials and their corresponding proportions in each HSI pixel. The extensions of the nonnegative matrix factorization (NMF) have been proved effective for HU, whic...

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Bibliographic Details
Main Authors: Zuoyu Zhang, Shouyi Liao, Hexin Zhang, Shicheng Wang, Yongchao Wang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
hyperspectral unmixing (HU)
nonnegative matrix factorization (NMF)
L2 sparsity
bilateral filter
NeNMF
Online Access:http://www.mdpi.com/2072-4292/10/6/816

Internet

http://www.mdpi.com/2072-4292/10/6/816

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