CIOMP OpenIR  > 中科院长春光机所知识产出
Lossless Compression of Hyperspectral Image for Space-Borne Application
Li J.; Jin L. X.; Li G. N.
2012
发表期刊Spectroscopy and Spectral Analysis
ISSN1000-0593
卷号32期号:8页码:2264-2269
摘要In order to resolve the difficulty in hardware implementation, lower compression ratio and time consuming for the whole hyperspectral image lossless compression algorithm based on the prediction, transform, vector quantization and their combination, a hyperspectral image lossless compression algorithm for space-borne application was proposed in the present paper. Firstly, intra-band prediction is used only for the first image along the spectral line using a median predictor. And inter-band prediction is applied to other band images. A two-step and bidirectional prediction algorithm is proposed for the inter-band prediction. In the first step prediction, a bidirectional and second order predictor proposed is used to obtain a prediction reference value. And a improved LUT prediction algorithm proposed is used to obtain four values of LUT prediction. Then the final prediction is obtained through comparison between them and the prediction reference. Finally, the verification experiments for the compression algorithm proposed using compression system test equipment of XX-X space hyperspectral camera were carried out. The experiment results showed that compression system can be fast and stable work. The average compression ratio reached 3. 05 bpp. Compared with traditional approaches, the proposed method could improve the average compression ratio by 0. 14 similar to 2. 94 bpp. They effectively improve the lossless compression ratio and solve the difficulty of hardware implementation of the whole wavelet-based compression scheme.
收录类别SCI
语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/34064
专题中科院长春光机所知识产出
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GB/T 7714
Li J.,Jin L. X.,Li G. N.. Lossless Compression of Hyperspectral Image for Space-Borne Application[J]. Spectroscopy and Spectral Analysis,2012,32(8):2264-2269.
APA Li J.,Jin L. X.,&Li G. N..(2012).Lossless Compression of Hyperspectral Image for Space-Borne Application.Spectroscopy and Spectral Analysis,32(8),2264-2269.
MLA Li J.,et al."Lossless Compression of Hyperspectral Image for Space-Borne Application".Spectroscopy and Spectral Analysis 32.8(2012):2264-2269.
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