Spectral-spatial Endmember Extraction by Singular Value Decomposition for AVIRIS data

2009 ◽  
Author(s):  
Shaohui Mei ◽  
Mingyi He ◽  
Zhiyong Wang ◽  
Dagan Feng
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Endmember Extraction ◽  
Value Decomposition

scholarly journals An Optimization Method for Hyperspectral Endmember Extraction Based on K-SVD

2019 ◽  
Vol 85 (12) ◽  
pp. 879-887
Author(s):  
Xiaoxiao Feng ◽  
Luxiao He ◽  
Ya Zhang ◽  
Yun Tang
Keyword(s):  
Singular Value Decomposition ◽  
Background Noise ◽  
Optimization Method ◽  
Extraction Methods ◽  
Singular Value ◽  
Endmember Extraction ◽  
Partially Observed ◽  
Mixed Pixels ◽  
Ground Object ◽  
Value Decomposition

Mixed pixels are common in hyperspectral imagery (<small>HSI</small>). Due to the complexity of the ground object distribution, some end-member extraction methods cannot obtain good results and the processes are complex. Therefore, this paper proposes an optimization method for <small>HSI</small> endmember extraction, which improves the accuracy of the results based on K-singular value decomposition (<small>K-SVD</small>). The proposed method comprises three core steps. (1) Based on the contribution value of initial endmembers, partially observed data selected according to the appropriate confidence participate in the calculation. (2) Construction of the error model to eliminate the background noise. (3) Using the <small>K-SVD</small> to perform column-by-column iteration on the endmembers to achieve the overall optimality. Experiments with three real images are applied, demonstrating the proposed method can improve the overall endmember accuracy by 15.1%–55.7% compared with the original methods.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition

Multi-scale singular value decomposition polarization image fusion defogging algorithm and experiment

2020 ◽  
Vol 13 (6) ◽  
pp. 1-10
Author(s):  
ZHOU Wen-zhou ◽  
◽  
FAN Chen ◽  
HU Xiao-ping ◽  
HE Xiao-feng ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Image Fusion ◽  
Singular Value ◽  
Multi Scale ◽  
Polarization Image ◽  
Value Decomposition
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