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Proceedings Paper

Progressive band processing of pixel purity index for hyperspectral imagery
Author(s): Yao Li; Cheng Gao; Hsiao-Chi Li; Meiping Song; Chein-I Chang
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Paper Abstract

Pixel Purity Index (PPI) is a very popular endmember finding algorithm due to its availability in ENVI software. According to the band sequential (BSQ) format of data acquisition this paper introduces a new concept of executing PPI band-by-band in a progressive manner. It is called progressive band processing of PPI (PBP-PPI) which allows users to process PPI band by band without waiting for full bands of data information acquired. To accomplish this goal PPI must be capable of calculating and updating PPI counts of data samples band by band. Furthermore, progressive-band-processing progressive PPI (PBP-P-PPI) and progressive-band-processing causal PPI (PBP-C-PPI) are proposed to address the issues that the number of skewers is undefined and only partial pixels are available correspondingly. Many benefits can be gained from PBP-PPI, for example, providing progressive profiles of PPI counts of data samples as more bands are included for data processing, finding crucial bands according to progressive changes in PPI counts.

Paper Details

Date Published: 21 May 2015
PDF: 10 pages
Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 95010U (21 May 2015); doi: 10.1117/12.2176778
Show Author Affiliations
Yao Li, Univ. of Maryland, Baltimore County (United States)
Cheng Gao, Univ. of Maryland, Baltimore County (United States)
Hsiao-Chi Li, Univ. of Maryland, Baltimore County (United States)
Meiping Song, Dalian Maritime Univ. (China)
Chein-I Chang, Univ. of Maryland, Baltimore County (United States)


Published in SPIE Proceedings Vol. 9501:
Satellite Data Compression, Communications, and Processing XI
Bormin Huang; Chein-I Chang; Chulhee Lee; Yunsong Li; Qian Du, Editor(s)

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