The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B7
https://doi.org/10.5194/isprs-archives-XLI-B7-117-2016
https://doi.org/10.5194/isprs-archives-XLI-B7-117-2016
20 Jun 2016
 | 20 Jun 2016

A BAND SELECTION METHOD FOR SUB-PIXEL TARGET DETECTION IN HYPERSPECTRAL IMAGES BASED ON LABORATORY AND FIELD REFLECTANCE SPECTRAL COMPARISON

S. Sharifi hashjin, A. Darvishi, S. Khazai, F. Hatami, and M. Jafari houtki

Keywords: Hyperspectral, Target detection, Band selection, Target spectral, Sub-pixel

Abstract. In recent years, developing target detection algorithms has received growing interest in hyperspectral images. In comparison to the classification field, few studies have been done on dimension reduction or band selection for target detection in hyperspectral images. This study presents a simple method to remove bad bands from the images in a supervised manner for sub-pixel target detection. The proposed method is based on comparing field and laboratory spectra of the target of interest for detecting bad bands. For evaluation, the target detection blind test dataset is used in this study. Experimental results show that the proposed method can improve efficiency of the two well-known target detection methods, ACE and CEM.