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Proceedings Paper

Progressive hyperspectral imaging
Author(s): Chein-I Chang
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Paper Abstract

Progressive hyperspectral imaging (PHSI) is a new concept that has never been explored in the past. It decomposes data processing into a number of stages and processes data stage-by–stage progressively in the sense that the results obtained by previous stages are updated and improved by subsequent stages through the past processed information as well as new innovations information that is not available in previous stages. This is quite different from a sequential processing which processes data samples in a sequential manner where each data sample is fully processed. Specially, the idea of PHSI is believed to be the first ever materialized to utilize available information in a best possible means to process massive data by updating data processing via using the new innovations information provided by the current being processed data sample. As a result, the PHSI can significantly reduce computing time and in the mean time can be also realized in real-time in many application areas such as hyerspectral data communications and transmission where data can be communicated and transmitted progressively. Most importantly, the PHSI allows users to screen preliminary results before deciding to continuously complete the data processing.

Paper Details

Date Published: 24 October 2012
PDF: 12 pages
Proc. SPIE 8539, High-Performance Computing in Remote Sensing II, 853907 (24 October 2012); doi: 10.1117/12.979188
Show Author Affiliations
Chein-I Chang, Univ. of Maryland, Baltimore County (United States)


Published in SPIE Proceedings Vol. 8539:
High-Performance Computing in Remote Sensing II
Bormin Huang; Antonio J. Plaza, Editor(s)

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