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タイトルA comparison of spectral decorrelation techniques and performance evaluation metrics for a wavelet-based, multispectral data compression algorithm
本文(外部サイト)http://hdl.handle.net/2060/19940023755
著者(英)Matic, Roy M.; Mosley, Judith I.
著者所属(英)Hughes Research Labs.
発行日1994-04-01
言語eng
内容記述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.
NASA分類COMPUTER PROGRAMMING AND SOFTWARE
レポートNO94N28258
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/112950


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