Hyperspectral Image Denoising via Nonnegative Matrix Factorization and Convolutional Neural Networks

2018 ◽  
Author(s):  
Baihong Lin ◽  
Xiaoming Tao ◽  
Xiaowei Qin ◽  
Yiping Duan ◽  
Jianhua Lu
Keyword(s):  
Neural Networks ◽  
Image Denoising ◽  
Convolutional Neural Networks ◽  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Hyperspectral Image ◽  
Nonnegative Matrix

A Review of the Hyperspectral Unmixing Methods that Based on Constrained NMF and Constrained Sparse Regression

2015 ◽  
Vol 713-715 ◽  
pp. 1540-1545
Author(s):  
Cheng Yong Zheng
Keyword(s):  
Image Analysis ◽  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Hyperspectral Image ◽  
Nonnegative Matrix ◽  
The Other ◽  
Research Topics ◽  
Sparse Regression ◽  
Hyperspectral Unmixing ◽  
Hyperspectral Image Analysis

Hyperspectral unmixing (HSU) plays an important role in hyperspectral image analysis, and most of the current HSU algorithms are base on linear mixing model (LMM). This paper gives a review of two linear HSU methods that have been drawn great attention recently: one is constrained nonnegative matrix factorization (CNMF) based method, the other is constrained sparse regression (CSR) based method. We carried on the systematic summary to these two types of methods, based on which, we point out some potential research topics.

Hyperspectral image unmixing algorithm based on endmember-constrained nonnegative matrix factorization

2016 ◽  
Vol 9 (4) ◽  
pp. 627-632 ◽  
Author(s):  
Yan Zhao ◽  
Zhen Zhou ◽  
Donghui Wang ◽  
Yicheng Huang ◽  
Minghua Yu
Keyword(s):  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Hyperspectral Image ◽  
Nonnegative Matrix

Hyperspectral Image Unmixing Based on Constrained Nonnegative Matrix Factorization

2019 ◽  
Vol 56 (16) ◽  
pp. 161001
Author(s):  
方帅 Shuai Fang ◽  
王金明 Jinming Wang ◽  
曹风云 Fengyun Cao
Keyword(s):  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Hyperspectral Image ◽  
Nonnegative Matrix

scholarly journals Nonnegative matrix factorization for efficient hyperspectral image projection

2015 ◽  
Author(s):  
Alexander S. Iacchetta ◽  
James R. Fienup ◽  
David T. Leisawitz ◽  
Matthew R. Bolcar
Keyword(s):  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Hyperspectral Image ◽  
Nonnegative Matrix ◽  
Image Projection
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