DocumentCode
2871200
Title
A basis function network for remote sensing classification
Author
Bensheng, Qiu ; Yuangui, Gao ; Jingan, Yang ; Diancheng, Zhang
Author_Institution
PLA Gen. Hosp., Beijing, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1339
Abstract
For the problem of remote sensing image classification, a basis function network is proposed in this paper. Compared with the backpropagation (BP) network, it avoids the problems of hidden nodes selection and weights initialization. The experimental results show that this basis function network has a better performance of classification for complex remote sensing patterns with fast training time
Keywords
image classification; neural nets; remote sensing; basis function network; complex remote sensing patterns; image classification; remote sensing classification; remote sensing image processing; training time; Artificial neural networks; Biology computing; Color; Computer errors; Hospitals; Image processing; Neural networks; Pattern classification; Programmable logic arrays; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770867
Filename
770867
Link To Document