Title :
Band Selection Based On A New Seperability Measure For Hyperspectral Images Classification
Author :
Liu, Ying ; Gu, Yanfeng ; Zhang, Ye ; Wang, Aili
Author_Institution :
Dept. of Inf. Eng., Harbin Inst. of Technol.
Abstract :
Classification is an important application of hyperspectral images. In terms of classification, separability measures are usually used for band selection, and Bhattacharyya distance (BHD) is a conventional separability measure. In this paper, a new separability measure, weighted Bhattacharyya distance (W-BHD) is introduced and a band selection algorithm based on it is proposed. The proposed algorithm composes of four steps: initial subset selection, weights calculation, W-BHD calculation and final subset selection. W-BHD calculation is crucial part of the proposed algorithm. W-BHD assigns different weights to each class pair, which improves classification accuracy by stressing importance on hard-to-separate class pairs. Numerical experiments are conducted on two hyperspectral data respectively, and results show that W-BHD greatly outperforms other separability measures based on BHD
Keywords :
geophysical signal processing; image classification; set theory; band selection algorithm; hyperspectral images classification; initial subset selection; weighted Bhattacharyya distance; Electronic mail; Focusing; Hyperspectral imaging; Hyperspectral sensors; Image classification; Image resolution; Multispectral imaging; Object detection; Remote sensing; Weight measurement;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345579