基于分布式编码的高光谱图像并行无损压缩算法研究  

Parallel Hyperspectral Image Lossless Compression Based on Distributed Doding

作　　者：赵殷瑶 赵彦 ZHAO Yin-Yao;ZHAO Yan(Information Center of the State Administration for Market Regulation,Beijing 100088,China;Tongzhou Branch of Beijing Municipal Public Security Bureau,Beijing 101100,China)

机构地区：[1]国家市场监督管理总局信息中心,北京100088 [2]北京市公安局通州分局,北京101100

出　　处：《机电产品开发与创新》2023年第2期41-43,46,共4页Development & Innovation of Machinery & Electrical Products

摘　　要：分布式选择压缩算法是一种新型的高光谱图像数据压缩算法,其压缩比和压缩时间都远优于传统压缩算法,将并行思想和分布式思想相结合,进一步提升了压缩效率。基于分布式编码的高光谱图像并行无损压缩算法产生了明显高于其他图像压缩算法的压缩效率。Distributed select compression algorithm is a new algorithm for hyperspectral image data compression,the compression ratio and compression time are far superior to the traditional compression algorithms,parallel and distributed ideas combine ideas to further enhance the compression efficiency.Generated based on distributed parallel coding hyperspectral images lossless compression algorithm significantly higher than other compression efficiency of image compression algorithms.

关 键 词：高光谱图像 分布式编码 并行压缩 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]