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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/32857

Title: Group and region based parallel compression method using signal subspace projection and band clustering for hyperspectral imagery
Authors: Chang Lena;Chang Yang-Lang Lang;Tang Z. S.;Huang Bormin
Contributors: NTOU:Department of Communications Navigation and Control Engineering
國立臺灣海洋大學:通訊與導航工程學系
Keywords: 高頻譜影像壓縮;主成份分析法;分群式訊號子空間投影法;聚類頻帶分群法
Hyperspectral image compression, Principal Components Analysis (PCA), clustering signal subspace projection (CSSP), maximum correlation band clustering (MCBC)
Date: 2011-09
Issue Date: 2012-06-18T07:03:07Z
Publisher: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Abstract: abstract:In this study, a novel group and region based parallel compression approach is proposed for hyperspectral imagery. The proposed approach contains two algorithms, which are clustering signal subspace projection (CSSP) and the maximum correlation band clustering (MCBC). The CSSP first divides the image into proper regions by transforming the high dimensional image data into one dimensional projection length. The MCBC partitions the spectral bands into several groups according to their associated band correlation for each image region. The image data with high degree correlations in spatial/spectral domains are then gathered in groups. Then, the grouped image data is further compressed by Principal Components Analysis (PCA)-based spectral/spatial hyper-spectral image compression techniques. Furthermore, to accelerate the computing efficiency, we present a parallel architecture of the proposed compression approach by using parallel cluster computing techniques. Simulation results performed on AVIRIS images have shown that the proposed group and region based approach performs better than standard 3D hyperspectral image compression. Moreover, the proposed approach achieves better computation efficiency than the direct combination of PCA and JPEG2000 under the same compression ratio.
Relation: 4(3), pp.565-578
URI: http://ntour.ntou.edu.tw/handle/987654321/32857
Appears in Collections:[通訊與導航工程學系] 期刊論文

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