Title :
Feature extraction from multispectral digital images using artificial neural networks and Bayesian classifier
Author :
Tripathi, Nitin Kumar ; Tripathi, Anoop
Author_Institution :
Dept. of Civil Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
An attempt is made to explore the possibility of automated image classification using an artificial neural network (ANN) and a Bayesian classifier. Computational intricacies of both are discussed. The utility of ANN in case of a large data set and efficiency in reducing the misclassification have been investigated. The result of both the approach on a common data set has been compared
Keywords :
Bayes methods; feature extraction; geophysical techniques; image recognition; neural nets; remote sensing; Bayes method; Bayesian classifier; artificial neural network; automated image classification; feature extraction; geophysical measurement technique; land surface; multispectral digital image; multispectral remote sensing; neural net; terrain mapping; Artificial neural networks; Bayesian methods; Digital images; Feature extraction; Neural networks; Neurons; Remote sensing; Satellites; Testing; Vegetation mapping;
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
DOI :
10.1109/IGARSS.1993.322192
