Hyperspectral Image Denoising by Fusing the Selected Related Bands

This paper process the Hyperspectral images (HSIs) with more useful information than RGB or gray images, which are widely used in many remote sensing tasks. In real scenarios, HSIs are inevitably corrupted by noise because of sensors’ imperfectness or atmospheric influence. Recently, many HSI denoising methods have been proposed to utilize the inter band information between different spectral bands. 

Under this circumstance, an HSI denoising method is proposed by considering the band relationship and different noise levels. Then, the target noised bands can be denoised by fusing the selected related bands. Experimental results show that the proposed method achieves considerable performances in comparison with several state-of the- art hyperspectral denoising methods.