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http://dx.doi.org/10.7780/kjrs.2007.23.3.171

Design and Implementation of Hyperspectral Image Analysis Tool: HYVIEW  

Huan, Nguyen van (School of Information and Communication Engineering, INHA University)
Kim, Ha-Kil (School of Information and Communication Engineering, INHA University)
Kim, Sun-Hwa (Dept. of Geoinformatic Engineering, INHA University)
Lee, Kyu-Sung (Dept. of Geoinformatic Engineering, INHA University)
Publication Information
Korean Journal of Remote Sensing / v.23, no.3, 2007 , pp. 171-179 More about this Journal
Abstract
Hyperspectral images have shown a great potential for the applications in resource management, agriculture, mineral exploration and environmental monitoring. However, due to the large volume of data, processing of hyperspectral images faces some difficulties. This paper introduces the development of an image processing tool (HYVIEW) that is particularly designed for handling hyperspectral image data. Current version of HYVIEW is dealing with efficient algorithms for displaying hyperspectral images, selecting bands to create color composites, and atmospheric correction. Three band-selection schemes for producing color composites are available based on three most popular indexes of OIF, SI and CI. HYVIEW can effectively demonstrate the differences in the results of the three schemes. For the atmospheric correction, HYVIEW utilizes a pre-calculated LUT by which the complex process of correcting atmospheric effects can be performed fast and efficiently.
Keywords
Hyperspectral image; band-selecting; color-composite; atmospheric correction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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