The analysis of the interference hyperspectral image features and compression

Lei Zhang; ShanCong Zhang; Xiangli Bin; Shengxue Quan

doi:10.1117/12.867626

22 October 2010 The analysis of the interference hyperspectral image features and compression

Lei Zhang, ShanCong Zhang, Xiangli Bin, Shengxue Quan

Proceedings Volume 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology; 765839 (2010) https://doi.org/10.1117/12.867626
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

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.

Citation Download Citation

Lei Zhang, ShanCong Zhang, Xiangli Bin, and Shengxue Quan "The analysis of the interference hyperspectral image features and compression", 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); https://doi.org/10.1117/12.867626

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KEYWORDS

Image compression

Nanoimprint lithography

Image analysis

JPEG2000

Spectroscopy

Data storage

Hyperspectral imaging

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