基于预测的高光谱图像并行无损压缩算法  

A Lossless Compression Algorithm Based on Predictive Parallel Hyperspectral Image

作　　者：赵殷瑶 方军 白静一 王欢 周希昱 ZHAO Yin-Yao;FANG Jun;BAI Jing-Yi;WANG Huan;ZHOU Xi-Yu(Information Center of the State Administration for Market Regulation,Beijing100088,China)

机构地区：[1]国家市场监督管理总局信息中心,北京100088

出　　处：《机电产品开发与创新》2023年第1期24-26,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：高光谱图像压缩算法众多,本文首次将并行性理论研究应用于高光谱图像压缩领域,以经典预测算法为例进行实验研究,在同样的压缩比下并行算法的压缩效率明显提高,这种高效的并行压缩算法非常适用于卫星上数据的压缩。Numerous hyperspectral image compression algorithms,this first theory are applied to the parallel nature of hyperspectral image compression,predictionalgorithms,classic example,experimental study,in the same compression ratio compression efficiency of the parallel algorithm is significantly improved,this efficient parallel compression algorithm is very suitable for compression on satellite data.

关 键 词：高光谱图像 预测算法 并行压缩 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]