NDLI: A Parallel Fusion Algorithm of Remote Sensing Images Based on Wavelet Transform

Content Provider	IEEE Xplore Digital Library
Author	Xiaorong Xue Fang Xiang Hongfu Wang Jinxi Peng
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang, China (Xiaorong Xue; Fang Xiang; Hongfu Wang) \|\| Sch. of Software, Beihang Univ., Beijing, China (Jinxi Peng)
Abstract	To play the advantages of a variety of remote sensing data, the application of remote sensing image fusion is a very important choice. Remote sensing image fusion is large in computing capacity and time-consuming, and with the development of modern remote sensing technology, the amount of various remote sensing data obtained is larger and larger, how to fuse remote sensing image quickly and accurately and getting useful information is becoming more and more urgent especially in some remote sensing applications such as disaster prevention and relief quick, etc. Based on the advantage of wavelet transform in information processing and the advantage of parallel computing in high-performance computing, a parallel fusion algorithm of remote sensing images based on wavelet transform is proposed in the paper. In the method, based on parallel computing, the low-frequency components of wavelet decomposition are fused with the fusion rule based on the feature matching, and the high-frequency components of wavelet decomposition are fused with the fusion rule based on the sub region variance. Then the low-frequency components and the high-frequency components after fusion are processing with the inverse wavelet transform, and the fused image is gotten. The result shows that the proposed method can get better fusion results and faster computing speed.
Sponsorship	IEEE Comput. Soc.
Starting Page	1113
Ending Page	1118
File Size	2316976
Page Count	6
File Format	PDF
ISBN	9780769550886
DOI	10.1109/HPCC.and.EUC.2013.157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers image fusion wavelet transform Parallel processing remote sensing parallel computing Remote sensing Image fusion Wavelet coefficients
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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