NDLI: Novel Adaptive Component-Substitution-Based Pan-Sharpening Using Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Wenqing Wang Licheng Jiao Shuyuan Yang
Copyright Year	2004
Abstract	Component substitution (CS) technique is a famous framework for merging multispectral (MS) and panchromatic (Pan) images. The synthetic intensity component is important in the CS fusion framework. In this letter, we propose an optimization model to obtain the adaptive weights. The adaptive weights are computed by maximizing an objective function, which measures the radiometric similarity between the low-scale intensity image and the spatially degraded Pan image. Correlation coefficient, mean-structural-similarity index, and mutual information are used as the similarity criteria, respectively. A particle-swarm-optimization algorithm is adopted to solve the single objection optimization problem. The proposed CS framework is compared with popular CS-based fusion methods. Visual analysis and quality results demonstrate that the proposed adaptive CS fusion framework has superior performance.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	781
Ending Page	785
Page Count	5
File Size	1608579
File Format	PDF
ISSN	1545598X
Volume Number	12
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Indexes Spatial resolution Linear programming Image fusion Particle swarm optimization particle swarm optimization (PSO) Component substitution (CS) correlation coefficient (CC) mean structural similarity (MSSIM) index mutual information (MI)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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