Impact of irreversible data compression on spectral distortion of hyper-spectral data

被引：0

作者：

Aiazzi, B ^{[1
]}

Baronti, S ^{[1
]}

Santurri, L ^{[1
]}

Selva, M ^{[1
]}

Alparone, L ^{[1
]}

机构：

[1] CNR, IFAC, Inst Appl Phys N Carrara, Florence, Italy

来源：

GEOINFORMATION FOR EUROPEAN-WIDE INTEGRATION | 2003年

关键词：

data compression; differential pulse code modulation (DPCM); hyper-spectral data; near-lossless compression; radiometric distortion; spectral distortion;

D O I：

暂无

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Goal of the present work is to investigate and compare different compression methodologies from the view-point of spectral distortion introduced in hyper-spectral pixel vectors. The main result of this analysis is that, for a given compression ratio, near-lossless methods, either MAD- or PMAD-constrained, are more suitable for preserving the spectral discrimination capability among pixel vectors, which is the principal outcome of spectral information. Therefore, whenever a lossless compression is not practicable, the use of near-lossless compression is recommended in such application where spectral quality is a crucial point.

引用

页码：107 / 112

页数：6

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