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Lossless Compression of Hyperspectral Image Based on Spatial-Spectral Hybrid Prediction
Chen YH(陈永红); Shi ZL(史泽林); Ma L(马龙)
Department光电信息研究室
Conference Name9th International Conference on Signal Processing
Conference DateOctober 26-29, 2008
Conference PlaceBeijing, China
Author of SourceIEEE, Signal Proc Soc, IET, CIE, uRSi, IEEE Press
Source PublicationICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS
PublisherIEEE
Publication PlaceNEW YORK
2008
Pages993-997
Indexed ByEI ; CPCI(ISTP)
EI Accession number20092612145171
WOS IDWOS:000270665400239
Contribution Rank1
ISBN978-1-4244-2178-7
AbstractThis paper proposes an improved lossless compression algorithm based on the spatial-spectral hybrid prediction. We choose the prediction modes between the spatial and the spectral domains by computing the local correlation coefficient. If such coefficient is larger than the pre-designed threshold, the spectral linear predictor is adopted, which is able to capture more spectral correlation by re-estimating the correlation. Otherwise, MED predictor is used. Finally, prediction error images are coded by RICE algorithm. Experiments are carried out on AVIRIS scenes. Simulation results show that the proposed method outperforms 3D-CALIC algorithm MED and GAP spatial lossless prediction algorithms.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7994
Collection光电信息技术研究室
Corresponding AuthorChen YH(陈永红)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School, Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Chen YH,Shi ZL,Ma L. Lossless Compression of Hyperspectral Image Based on Spatial-Spectral Hybrid Prediction[C]//IEEE, Signal Proc Soc, IET, CIE, uRSi, IEEE Press. NEW YORK:IEEE,2008:993-997.
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