Title
Pansharpening of remote sensing images with a matting model
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.
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6723001
IGARSS
Keywords
Field
DocType
panchromatic imaging,remote sensing,spectral distortion,image fusion,matting model based pansharpening method,image resolution,spatial resolution,multispectral imaging,nonlinear filter,geophysical image processing,pan imaging,decomposition,edge information,subjective evaluation,ms imaging,matting,mmp method,spectral foreground,alpha channel,spectral background,pansharpening,objective evaluation,spectral resolution,remote sensing imaging,image reconstruction
Computer vision,Image gradient,Alpha compositing,Image fusion,Image texture,Panchromatic film,Computer science,Remote sensing,Image processing,Artificial intelligence,Merge (version control),Image resolution
Conference
Volume
Issue
ISSN
null
null
2153-6996
ISBN
Citations 
PageRank 
978-1-4799-1114-1
1
0.36
References 
Authors
6
3
Name
Order
Citations
PageRank
Xudong Kang145122.68
Shutao Li22594139.10
Jon Atli Benediktsson34064251.17