Lossless compression of hyperspectral imagery via RLS filter

	Lossless compression of hyperspectral imagery via RLS filter
	Song, Jinwei; Zhang, Zhongwei; Chen, Xiaomin
刊名	ELECTRONICS LETTERS
	2013
卷号	49 期号:16 页码:992-993
ISSN号	0013-5194
通讯作者	Song, JW (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China.
英文摘要	A new algorithm for lossless compression of hyperspectral imagery is proposed. First, the average value of four neighbour pixels of the current pixel is calculated as local mean, which is subtracted by the current pixel to eliminate correlation in the current band image. The residual produced by this step is called local difference. The local differences of the pixels which co-locate with the current pixel in previous bands form the input vector of the recursive least square (RLS) filter, by which the prediction value of the current local difference is produced. Then, the prediction residual is sent to the adaptive arithmetic encoder. Experiment results show that the proposed algorithm produces state-of-the-art performance with relatively low complexity, and it is suitable for real-time compression on satellites.
收录类别	SCI
语种	英语
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/4950]
专题	国家空间科学中心_空间技术部
推荐引用方式 GB/T 7714	Song, Jinwei,Zhang, Zhongwei,Chen, Xiaomin. Lossless compression of hyperspectral imagery via RLS filter[J]. ELECTRONICS LETTERS,2013,49(16):992-993.
APA	Song, Jinwei,Zhang, Zhongwei,&Chen, Xiaomin.(2013).Lossless compression of hyperspectral imagery via RLS filter.ELECTRONICS LETTERS,49(16),992-993.
MLA	Song, Jinwei,et al."Lossless compression of hyperspectral imagery via RLS filter".ELECTRONICS LETTERS 49.16(2013):992-993.