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http://dx.doi.org/10.7780/kjrs.2012.28.4.3

Comparative Analysis of Target Detection Algorithms in Hyperspectral Image  

Shin, Jung-Il (Department of Geoinformatic Engineering, Inha University)
Lee, Kyu-Sung (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.28, no.4, 2012 , pp. 369-392 More about this Journal
Abstract
Recently, many target detection algorithms were developed for hyperspectral image. However, almost of these studies focused only accuracy from 1 or 2 data sets to validate and compare the algorithms although they give limited information to users. This study aimed to compare usability of target detection algorithms with various parameters. Five parameters were proposed to compare sensitivity in aspect of detection accuracy which are related with radiometric and spectral characteristics of target, background and image. Six target detection algorithms were compared in aspect of accuracy and efficiency (processing time) by variation of the parameters and image size, respectively. The results shown different usability of each algorithm by each parameter in aspect of accuracy. Second order statistics based algorithms needed relatively long processing time. Integrated usabilities of accuracy and efficiency were various by characteristics of target, background and image. Consequently, users would consider appropriate target detection algorithms by characteristics of data and purpose of detection.
Keywords
Hyperspectral; Target detection; Accuracy; Efficiency; Comparison;
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Times Cited By KSCI : 4  (Citation Analysis)
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