Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 117-120, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-117-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
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 hashjin1, A. Darvishi1, S. Khazai2, F. Hatami1, and M. Jafari houtki3 1Dept. Of Remote Sensing and GIS, Geography Faculty, University of Tehran, Iran
2Dept. of Civil Engineering, Engineering Faculty, University of Imam Hussein, Tehran, Iran
3Dept. of Geology, Science Faculty, Shahid Bahonar University of Kerman, Kerman, Iran
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.
Conference paper (PDF, 808 KB)


Citation: Sharifi hashjin, S., Darvishi, A., Khazai, S., Hatami, F., and Jafari houtki, M.: A BAND SELECTION METHOD FOR SUB-PIXEL TARGET DETECTION IN HYPERSPECTRAL IMAGES BASED ON LABORATORY AND FIELD REFLECTANCE SPECTRAL COMPARISON, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 117-120, https://doi.org/10.5194/isprs-archives-XLI-B7-117-2016, 2016.

BibTeX EndNote Reference Manager XML