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Proceedings Paper

Lossless compression of hyperspectral images using C-DPCM-APL with reference bands selection
Author(s): Keyan Wang; Huilin Liao; Yunsong Li; Shanshan Zhang; Xianyun Wu
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Paper Abstract

The availability of hyperspectral images has increased in recent years, which is used in military and civilian applications, such as target recognition, surveillance, geological mapping and environmental monitoring. Because of its abundant data quantity and special importance, now it exists lossless compression methods of hyperspectral images mainly exploiting the strong spatial or spectral correlation. C-DPCM-APL is a method that achieves highest lossless compression ratio on the CCSDS hyperspectral images acquired in 2006 but consuming longest processing time among existing lossless compression methods to determine the optimal prediction length for each band. C-DPCM-APL gets best compression performance mainly via using optimal prediction length but ignoring the correlationship between reference bands and the current band which is a crucial factor that influences the precision of prediction. Considering this, we propose a method that selects reference bands according to the atmospheric absorption characteristic of hyperspectral images. Experiments on CCSDS 2006 images data set show that the proposed reduces the computation complexity heavily without decaying its lossless compression performance when compared to C-DPCM-APL.

Paper Details

Date Published: 28 May 2014
PDF: 10 pages
Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91240W (28 May 2014); doi: 10.1117/12.2053479
Show Author Affiliations
Keyan Wang, Xidian Univ. (China)
Huilin Liao, Xidian Univ. (China)
Yunsong Li, Xidian Univ. (China)
Shanshan Zhang, Xidian Univ. (China)
Xianyun Wu, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 9124:
Satellite Data Compression, Communications, and Processing X
Bormin Huang; Chein-I Chang; José Fco. López, Editor(s)

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