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Efficient Adaptive Lossless Compression of Hyperspectral Data using Enhanced DPCM

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Author(s): Farshid Sepehrband | Pedram Ghamisi | Ali Mohammadzadeh | Mohammad Reza Sahebi | Jeiran Choupan

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 35;
Issue: 4;
Start page: 6;
Date: 2011;
Original page

Keywords: Hyperspectral data | Adaptive Compression | Lossless Compression | DPCM Enhanced DPCM transformation (EDT)

ABSTRACT
Hyperspectral sensors are imaging spectrometry sensors that generate useful information about climate and the earth surface in numerous contiguous narrow spectral bands, and are widely used in resource management, agriculture, environmental monitoring, etc. Compression of the Hyperspectral data helps in longterm storage and transmission systems. Lossless compression is preferred for highdetail data, such as Hyperspectral data. There are a few wellknown methods for lossless compression, such as JPEG standards, and some other previously proposed methods. However, improving the compression ratio of previous methods is the major focus in Hyperspectraldata compression. This paper introduces two new lossless compression methods. One of these methods is adaptive and powerful for the compression of Hyperspectral data, which is based on separating the bands with different specifications and compressing each one efficiently. The new proposed methods improve the compression ratio of the JPEG standards, save storage space, and speed up the transmission system. The proposed methods are applied on different test cases, and the results are evaluated and compared with other stateoftheart compression methods, such as lossless JPEG and JPEG2000.
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