中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Lossless Compression of Hyperspectral Image Based on 3DLMS Prediction

文献类型:会议论文

作者Chen YH(陈永红); Shi ZL(史泽林); Li DQ(李德强)
出版日期2009
会议名称2nd International Congress on Image and Signal Processing
会议日期October 17-19, 2009
会议地点Tianjin, China
关键词3DLMS hypersepctral image lossless compression adaptive prediction
页码273-278
中文摘要This Aiming at improving the lossless compression ratio of hyperspectral image, a three-dimensional LMS (3DLMS) algorithm is first deduced and applied into the field of hyperspectral image compression. A novel adaptive prediction model based on 3DLMS algorithm for lossless compression of hyperspectral image is proposed and optimized by the local casual set mean subtraction method. Experimental results on AVIRIS images show that the proposed algorithm can remove both the spatial and spectral redundancy of hyperspectral image and achieve higher image compression ratios than other state-of-the-art compression algorithms. The feasibility of 3DLMS algorithm in three-dimensional signal processing is also verified in this paper.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Tianjin Univ Technol, IEEE Engn Med & Biol Soc
会议录PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-4244-4130-3
WOS记录号WOS:000280804300061
源URL[http://ir.sia.cn/handle/173321/7993]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
Chen YH,Shi ZL,Li DQ. Lossless Compression of Hyperspectral Image Based on 3DLMS Prediction[C]. 见:2nd International Congress on Image and Signal Processing. Tianjin, China. October 17-19, 2009.

入库方式: OAI收割

来源:沈阳自动化研究所

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