Hyperspectral image coding and transmission scheme based on wavelet transform and distributed source coding

This paper presents a novel scheme for satellite hyperspectral images broadcasting over wireless channels. First, a simple pre-processing is performed. Then, a new hyperspectral band ordering algorithm that improves the compression performance is implemented. The ordered image data is also normalize...

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Veröffentlicht in:Multimedia tools and applications Jg. 76; H. 22; S. 23757 - 23776
Hauptverfasser: Hagag, Ahmed, Fan, Xiaopeng, Abd El-Samie, Fathi E.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.11.2017
Schlagworte:
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Multimedia Information Systems
Special Purpose and Application-Based Systems
Wireless communication
Wavelet transforms
AVIRIS
Joint source-channel code (JSCC)
DSC
LineCast
Hyperspectral band ordering
SoftCast
ISSN:1380-7501, 1573-7721
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Zusammenfassung:This paper presents a novel scheme for satellite hyperspectral images broadcasting over wireless channels. First, a simple pre-processing is performed. Then, a new hyperspectral band ordering algorithm that improves the compression performance is implemented. The ordered image data is also normalized. The discrete wavelet transform with three-level decomposition is used to divide each hyperspectral image band into ten wavelet sub-bands; nine of them are the details and the last LL-LL-LL is an approximation version of the band. Coset coding based on distributed source coding (DSC) is used for the LL-LL-LL sub-band to achieve high compression efficiency and low encoding complexity. Then, without syndrome coding, the transmission power is allocated directly to the band details and coset values according to their distributions and magnitudes without forward error correction (FEC). Finally, these data are transformed by the Hadamard matrix and transmitted over a dense constellation. Satellite hyperspectral images from an Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) satellite are used for the validation of the proposed scheme. Experimental results demonstrate that the proposed scheme improves the average image quality by 6.91, 3.00 and 7.68 dB over LineCast, SoftCast-3D, and Softcast-2D, respectively. It also achieves up to a 5.63 dB gain over JPEG2000 with FEC.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-016-4158-8