NDLI: A comparison of spectral decorrelation techniques and performance evaluation metrics for a wavelet-based, multispectral data compression algorithm

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A comparison of spectral decorrelation techniques and performance evaluation metrics for a wavelet-based, multispectral data compression algorithm

Content Provider	NASA Technical Reports Server (NTRS)
Author	Mosley, Judith I. Matic, Roy M.
Copyright Year	1994
Description	Future space-based, remote sensing systems will have data transmission requirements that exceed available downlinks necessitating the use of lossy compression techniques for multispectral data. In this paper, we describe several algorithms for lossy compression of multispectral data which combine spectral decorrelation techniques with an adaptive, wavelet-based, image compression algorithm to exploit both spectral and spatial correlation. We compare the performance of several different spectral decorrelation techniques including wavelet transformation in the spectral dimension. The performance of each technique is evaluated at compression ratios ranging from 4:1 to 16:1. Performance measures used are visual examination, conventional distortion measures, and multispectral classification results. We also introduce a family of distortion metrics that are designed to quantify and predict the effect of compression artifacts on multi spectral classification of the reconstructed data.
File Size	902121
Page Count	12
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19940023755
Archival Resource Key	ark:/13960/t41s1qr7f
Language	English
Publisher Date	1994-04-01
Access Restriction	Open
Subject Keyword	Computer Programming And Software Downlinking Performance Tests Algorithms Data Compression Spectrum Analysis Data Transmission Wavelet Analysis Spectra Spectral Correlation Remote Sensing Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Article

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