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Lossless compression of large aperture static imaging spectrometer based on CCSDS-123
Yu, Lu1,2,3; Liu, Xuebin1; Li, Hongbo1,3; Liu, Guizhong2; Yu, Lu (yuluu921@163.com)
2018
会议名称10th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2017
会议录名称MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis
卷号10607
会议日期2017-10-28
会议地点October 28, 2017 - October 29, 2017
出版者SPIE
产权排序1
摘要

A new method for the lossless compression of the interferometer hyperspectral instrument Large Aperture Static Imaging Spectrometer (LASIS) data is presented in this paper. Differs from traditional hyperspectral instrument, the image captured by the two dimensional CCD detector of LASIS is no longer a normal image, but the two spatial information of the scene superimposed with interference fringes of equal thickness. There is a translation motion of the spatial information among each frame of LASIS data cube. Based on these unique data characteristics of LASIS and the recently presented CCSDS-123 lossless multispectral & Hyperspectral image compression standard, an improved predictor is designed for the prediction of LASIS data while using the standard. We perform several experiments on real data acquired by LASIS to investigate the performance of the proposed predictor. Experimental results show that the proposed predictor gives about 27.5% higher compression ratio than the default predictor of CCSDS-123 for lossless compression of LASIS data. In addition, the appropriate choice of several parameters of the proposed predictor are presented according to the experimental results. © 2018 SPIE.

作者部门光谱成像技术实验室
DOI10.1117/12.2288314
收录类别EI ; ISTP
ISBN号9781510617179
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30004
专题光谱成像技术实验室
通讯作者Yu, Lu (yuluu921@163.com)
作者单位1.Laboratory of Spectral Imaging Technique, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119, China
2.School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
3.University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式
GB/T 7714
Yu, Lu,Liu, Xuebin,Li, Hongbo,et al. Lossless compression of large aperture static imaging spectrometer based on CCSDS-123[C]:SPIE,2018.
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