Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Remote Sensing Data Analysis by Using Kohonen Feature Map and Competitive Learning
Yoshikazu NOGAMIYoichi JYOMichifumi YOSHIOKASigeru OMATU
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1998 Volume 11 Issue 9 Pages 508-513


The neural network approach to the land-use classification problem using the back-propagation method (BPM) has been discussed in recent years. In such a method, the accuracy of the result depends on the training data set which is selected manually and this selection procedure, which takes much time, has been considered the bottlenech of the method. In this paper, we propose to pre-classify the data using the Kohonen Feature Map (KFM) and the competitive learning (CL) in order to facilitate the selection procedure of the training data set.

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