NDLI: Pansharpening Based on Intrinsic Image Decomposition

Content Provider	Springer Nature Link
Author	Kang, Xudong Li, Shutao Fang, Leyuan Benediktsson, Jon Atli
Copyright Year	2014
Abstract	A fused image of high spatial and spectral resolutions can be obtained by fusing a panchromatic (PAN) image with a multi-spectral (MS) image. In this paper, a new image fusion method is proposed, based on an intrinsic image decomposition model which assumes that an image can be separated into two components: the reflectance and illumination components. In pansharpening, it is known that the PAN image is a good substitute for the illumination of the ideal high resolution MS image. Therefore, the reflectance of the low resolution MS image can be estimated with the MS image and the downsampled PAN image. Then, through combining the upsampled reflectance component with the high resolution illumination component (the original PAN image), the pansharpened high resolution MS image can be reconstructed. Experiments performed on three data sets captured by different satellite sensors demonstrate that the proposed method can obtain clear fused images without causing a serious spectral distortion. Furthermore, since the proposed method requires dot multiplication, division, downsampling, and upsampling operations to be performed only once, it can be implemented for a very fast performance.
Starting Page	1
Ending Page	17
Page Count	17
File Format	PDF
ISSN	15572064
Journal	Sensing and Imaging: An International Journal
Volume Number	15
Issue Number	1
e-ISSN	15572072
Language	English
Publisher	Springer US
Publisher Date	2014-07-04
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Intrinsic image decomposition Image fusion Pansharpening Spectral distortion Electrical Engineering Microwaves, RF and Optical Engineering Imaging Radiology
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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