Title
Joint multichannel pansharpening for multispectral imagery
Abstract
Pan-sharpening is a common post-processing operation for captured multispectral satellite imagery, where the spatial resolution of images gathered in various spectral bands is enhanced by fusing them with a panchromatic image captured at a higher resolution. Previously proposed pan-sharpening techniques operate on a per-channel basis, sharpening each multispectral band independently based on the panchromatic image, often in an ad hoc manner. In contrast with most prior techniques, we formulate pan-sharpening as the problem of jointly estimating the high resolution multispectral images to minimize the combined squared residual error in physically motivated observation models of the low resolution multispectral and the high resolution panchromatic images. To realize pan-sharpening using our proposed formulation, we develop an iterative algorithm to solve the joint minimization resulting in an overall algorithm with modest computational complexity. We evaluate our proposed algorithm and benchmark it against previously proposed methods using established quantitative measures of SNR, SAM, ERGAS, Q, and Q4 indices. Both the quantitative results and visual evaluation demonstrate that the proposed joint formulation provides superior results compared with pre-existing methods.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638036
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
geophysical image processing,image fusion,image resolution,iterative methods,spectral analysis,combined squared residual error,high resolution panchromatic images,iterative algorithm,joint minimization,low resolution multispectral images,multispectral band,multispectral satellite imagery,observation models,pansharpening,spatial resolution,image fusion,pan-sharpening,satellite imagery,spectral imaging
Sharpening,Computer vision,Satellite imagery,Image fusion,Pattern recognition,Panchromatic film,Computer science,Multispectral image,Sub-pixel resolution,Artificial intelligence,Multispectral pattern recognition,Image resolution
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.36
References 
Authors
11
2
Name
Order
Citations
PageRank
Hussein A. Aly132.43
Gaurav Sharma2285.77