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Comparison of a back propagation and a self organizing map neural networks in classification of TM images
Thematic Classification Neural Network Back Propagation Self Organizing Maps Landsat TM
2015/2/5
In this paper we report the results of an experimental analysis on the use of two neural models for the thematic
classification of multispectral remotely sensed data. A Back Propagation network with ...
CLASSIFIER FOR REMOTELY SENSED IMAGERY USING KOHONEN ’S SELF-ORGANIZING FEATURE MAP WITH REGION GROWING
Remotely Sensed Imagery Self-Organizing Feature Map Region Growing Polar coordinate System
2015/2/4
Applying the region growing to the Kohonen’s self-organizing feature map, a non-supervised classifier for remotely
sensed imagery data is proposed. If the self-organizing feature map is made large e...