Lossless hyperspectral image compression using context-based conditional averages

被引：0
|
作者：
Wang, HQ [1 ]
Babacan, SD [1 ]
Sayood, K [1 ]
机构：
[1] Univ Nebraska, Dept Elect Engn, Lincoln, NE 68588 USA
来源：
DCC 2005: DATA COMPRESSION CONFERENCE, PROCEEDINGS | 2005年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we propose a compression algorithm focused on the peculiarities of hyperspectral images. ne spectral redundancy in hyperspectral. images is exploited by using a context matching method driven by the correlation between adjacent bands of hyperspectral spectral images. The method compares favorably with recent proposed lossless compression algorithms in terms of compression, with significantly lower complexity.
引用
收藏
页码：418 / 426
页数：9
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