A Novel Wavelet Transform Algorithm for Feature Extraction of Hyperspectral Remote Sensing Image

2009 ◽  
Author(s):  
Feng Jing ◽  
Shu Ning
Keyword(s):  
Remote Sensing ◽  
Feature Extraction ◽  
Wavelet Transform ◽  
Remote Sensing Image ◽  
Hyperspectral Remote Sensing ◽  
Hyperspectral Remote Sensing Image

scholarly journals Noise estimation of hyperspectral remote sensing image based on multiple linear regression and wavelet transform

2013 ◽  
Vol 19 (4) ◽  
pp. 639-652 ◽  
Author(s):  
Dong Xu ◽  
Lei Sun ◽  
Jianshu Luo
Keyword(s):  
Remote Sensing ◽  
Wavelet Transform ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Real Data ◽  
Remote Sensing Image ◽  
Hyperspectral Remote Sensing ◽  
Noise Estimation ◽  
Spectral Correlation ◽  
Hyperspectral Remote Sensing Image

Noise estimation of hyperspectral remote sensing image is In this paper, not only the spectral correlation removing is considered, but the spatial correlation removing by wavelet transform is considered as well. Therefore, a new method based on multiple linear regression (MLR) and wavelet transform is proposed to estimate the noise of hyperspectral remote sensing image. Numerical simulation of AVIRIS data is carried out and the real data Hyperion is also used to validate the proposed algorithm. Experimental results show that the method is more adaptive and accurate than the general MLR and the other classified methods.

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