TY - GEN
T1 - Band selection in hyperspectral images based on the fisher linear discriminant classifier
AU - Harari, Y.
AU - Bar-Yehuda, Z.
AU - Rotman, S. R.
PY - 2010/12/1
Y1 - 2010/12/1
N2 - Hyperspectral data consists of three dimensional images; the third dimension is the spectral signature of each pixel. The question always arises: which bands should be used and how should they be weighted. In this paper, a band selection algorithm based on the Fisher's Linear Discriminant classifier (FLD) is implemented. An initial segmentation of the image into two different classes (gas and background) is used as an input for the FLD. The combination of bands to be used is selected based on the FLD results.
AB - Hyperspectral data consists of three dimensional images; the third dimension is the spectral signature of each pixel. The question always arises: which bands should be used and how should they be weighted. In this paper, a band selection algorithm based on the Fisher's Linear Discriminant classifier (FLD) is implemented. An initial segmentation of the image into two different classes (gas and background) is used as an input for the FLD. The combination of bands to be used is selected based on the FLD results.
UR - http://www.scopus.com/inward/record.url?scp=78651259887&partnerID=8YFLogxK
U2 - 10.1109/EEEI.2010.5661942
DO - 10.1109/EEEI.2010.5661942
M3 - Conference contribution
AN - SCOPUS:78651259887
SN - 9781424486809
T3 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
SP - 60
EP - 62
BT - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
T2 - 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Y2 - 17 November 2010 through 20 November 2010
ER -