Title :
Pansharpening of remote sensing images with a matting model
Author :
Xudong Kang ; Shutao Li ; Benediktsson, Jon Atli
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
A novel matting model based pansharpening (MMP) method is proposed for creating a fused image of high spatial and spectral resolutions through merging a panchromatic (PAN) image with a multi-spectral (MS) image. Matting model refers to that an MS image can be decomposed into three components, i.e., alpha channel, spectral foreground and background. Through substituting the alpha channel of the MS image with the PAN image, the edge information from the PAN image can be transferred into the MS image without causing spectral distortion. Experiments demonstrate the superiority of the proposed method by subjective and objective evaluation.
Keywords :
decomposition; geophysical image processing; image fusion; image resolution; remote sensing; MMP method; MS imaging; PAN imaging; alpha channel; decomposition; edge information; image fusion; matting model based pansharpening method; multispectral imaging; objective evaluation; panchromatic imaging; remote sensing imaging; spatial resolution; spectral background; spectral distortion; spectral foreground; spectral resolution; subjective evaluation; Image coding; Image color analysis; Image edge detection; Image reconstruction; Remote sensing; Spatial resolution; Matting; nonlinear filter; pansharpening;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723001