| 光谱学与光谱分析 |
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| A New Hyperspectral Image Compression Method Combined with Subspace Partition and Multi-Inter-Spectral Prediction |
| GAO Wen1，2，ZHU Ming1，TIAN Run-lan3，TANG Yang4 |
1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2. Graduate University of Chinese Academy of Sciences，Beijing 100049，China
3. University of Aeronautics and Astronautics，Changchun 130000, China
4. College of Electronic Science & Engineering，Jilin University，Changchun 130000, China |
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Abstract Because of their rich and complex texture, multi-band and high spectral resolution, hyperspectral images are widely used in military, marine, agriculture and other aspects; however, their huge data also brings many troubles. Currently, there’re almost three types of the hyper-spectral image compression methods: the method based on transform, prediction and vector quantization, among which, the method based on prediction has the advantages such as easy implement and higher compression ratio, then it’s widely used. In the present paper, features of hyperspectral images are analyzed first in detail, then inter-spectral prediction algorithm is improved, and a new scheme which consists of subspace partition and multi-inter-spectral prediction is proposed, and finally, the experiments show that the program is effective.
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Received: 2010-06-19
Accepted: 2010-09-20
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Corresponding Authors:
GAO Wen
E-mail: cwenzi@126.com
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