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Τίτλος: Efficient algorithm for multispectral data coding using approximate trigonometric expansions
Συγγραφείς: Kasparis, Takis 
Memon, Qurban A. 
metadata.dc.contributor.other: Κασπαρής, Τάκης
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Λέξεις-κλειδιά: Algorithms;Data processing;Satellites;Remote-sensing images;Computer systems
Ημερομηνία Έκδοσης: 4-Αυγ-1997
Πηγή: Algorithms for Multispectral and Hyperspectral Imagery III, 1997, Orlando, Florida
Conference: SPIE Conference Proceedings 
Περίληψη: Images obtained from satellite and airborne multispectral collection platforms exhibit a high degree of spatial and spectral correlations that must be properly exploited in any multispectral bandwidth compression scheme. Removing the inherent spectral correlation in the data results in a significant compaction of data to be coded. Discrete approximate trigonometric expansions have previously been proposed for exploiting spatial correlation in 1D signals and images for the purpose of coding.In this paper, we apply the approximate trigonometric expansions to multispectral data, and explore their capability of spectral decorrelation across bands. We show that the compression algorithms employing approximate trigonometric expansions to multispectral imagery provide fast implementation and some how better spectral decorrelation efficiency than discrete cosine transform. For comparison purposes, the results are compared with the techniques employing the discrete cosine transform. Computer simulation results are presented.
URI: https://hdl.handle.net/20.500.14279/2366
ISSN: 0277-786X
DOI: 10.1117/12.280596
Rights: © 1997 SPIE
Type: Conference Papers
Affiliation: University of Central Florida 
Affiliation: University of Central Florida 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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