@inproceedings{bdafd9da1e2f4e37aa24944e06aadd8a,
title = "Hyperspectral image lossless compression algorithm based on adaptive band regrouping",
abstract = "Hyperspectral image has weak spatial correlation and strong spectral correlation. As to exploit spectrum redundancy sufficiently, it must be pre-processed. In this paper, a new algorithm for lossless compression of hyperspectral images based on adaptive band regrouping is proposed. Firstly, the affinity propagation clustering algorithm (AP) is chosen for band regrouping according to interband correlation. Then a linear prediction algorithm based on context prediction is applied to the hyperspectral images in different groups. Finally, the experimental results show that the proposed algorithm achieves performance gains of 1.12bpp over the conventional algorithm.",
keywords = "Affinity propagation clustering algorithm, Band regrouping, Hyperspectral image, Lossless compression",
author = "Mingyi He and Lin Bai and Yuchao Dai and Jing Zhang",
year = "2009",
doi = "10.1117/12.827450",
language = "英语",
isbn = "9780819477453",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Satellite Data Compression, Communication, and Processing V",
note = "Satellite Data Compression, Communication, and Processing V ; Conference date: 04-08-2009 Through 05-08-2009",
}