DocumentCode
3279739
Title
Multispectral image-processing with a three-layer backpropagation network
Author
McClellan, G.E. ; DeWitt, R.N. ; Hemmer, T.H. ; Matheson, L.N. ; Moe, G.O.
Author_Institution
Pacific-Sierra Res. Corp., Arlington, VA, USA
fYear
1989
fDate
0-0 1989
Firstpage
151
Abstract
The authors report on the use of a three-layer backpropagation neural network to do a pixel-by-pixel classification of a multispectral image of the Earth´s surface. Standard techniques are used to specify and train the network; however, the output slab is tailored to present the results of the pixel classification as standard three-color video display. Classification results are presented.<>
Keywords
artificial satellites; computerised pattern recognition; computerised picture processing; geophysical techniques; geophysics computing; neural nets; remote sensing; spectral analysis; Earth´s surface; image-processing; land surface; multispectral image; pattern recognition; picture processing; pixel-by-pixel classification; remote sensing; technique; three-color video display; three-layer backpropagation neural network; Geophysical measurements; Image processing; Neural networks; Pattern recognition; Remote sensing; Satellites; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118573
Filename
118573
Link To Document