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

Boletim de Ciências Geodésicas

卷:19

Lei Sun¹  Jianshu Luo¹  Dong Xu¹ 

[1] National University of Defense Technology;

关键词: Hyperspectral Remote Sensing Image;    Wavelet Transform;    MLR;    Signal-to-Noise Ratio (SNR);   

DOI  :  10.1590/S1982-21702013000400008

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown