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Proceedings Paper

The analysis of the interference hyperspectral image features and compression
Author(s): Lei Zhang; ShanCong Zhang; Xiangli Bin; Shengxue Quan
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Paper Abstract

Interference hyper spectral image and the images contain some interference information which are collected by the LASIS are only middle results of the spectrometer, is a three-dimensional image. The amount of the data is large size, and need to be compressed. For testing the actual interference hyper spectral image, use different composed way, to compose of LAMIS and LADIS image, the LASIS image has different target with different spectral band, LAMIS has the same target with different spectrum, LADIS has the same spectrum with different target . The spatial correlation and spectral correlation are analyzed. The self-coefficient and cross-coefficient are also calculated. The method that LASIS extract into LADIS is proposed, which separate interference information form spatial image, and it is a new foundation for interference information protection of LASIS image. The feather of LASIS image is revealed, the results obtained can be use LASIS image processing and compressing.

Paper Details

Date Published: 22 October 2010
PDF: 7 pages
Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 765839 (22 October 2010); doi: 10.1117/12.867626
Show Author Affiliations
Lei Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Academy of Opto-Electronics (China)
Shenyang Institute of Aeronautical Engineering (China)
ShanCong Zhang, Academy of Opto-Electronics (China)
Xiangli Bin, Academy of Opto-Electronics (China)
Shengxue Quan, Academy of Opto-Electronics (China)


Published in SPIE Proceedings Vol. 7658:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology
Yadong Jiang; Bernard Kippelen; Junsheng Yu, Editor(s)

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