DocumentCode :
2054874
Title :
A new approach to pattern recognition of remote sensing image using artificial neural network
Author :
Li, Houqiaug ; Liu, Zhengkai ; Sun, Weidong
Author_Institution :
Dept. of Radio & Electron., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
1993
fDate :
18-21 Aug 1993
Firstpage :
713
Abstract :
The performance is analyzed of Multilayered Neural Networks (MLNs) and its training rule-back propagation (BP) algorithm. Some new methods are used to improve its training speed and to avoid local minima. Spatial information is introduced into pattern recognition of remote sensing image using MLNs. The authors use three-layer modified MLNs as classifiers in pattern recognition of remote sensing images (Landsat-4 TM Data). The experimental results verify the usefulness of the approach
Keywords :
geophysical techniques; geophysics computing; image recognition; neural nets; remote sensing; Landsat-4; MLN; Multilayered Neural Network; artificial neural network; classifier; geophysical measurement technique; image classification; land surface imaging; local minima; multispectral optical; pattern recognition; remote sensing; training rule back propagation algorithm; training speed; Artificial neural networks; Image analysis; Image recognition; Neural networks; Paper technology; Pattern analysis; Pattern recognition; Remote sensing; Shape; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
Type :
conf
DOI :
10.1109/IGARSS.1993.322236
Filename :
322236
Link To Document :
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