Title :
Using self-organising maps to classify radar range profiles
Author_Institution :
Defence Res. Agency, UK
Abstract :
A model based approach to radar range profile classification is presented, and it is shown to be equivalent to training a topographic mapping neural network (T. Kohonen, 1984) on each of the range profile categories to be classified. The topographic mapping method is basically a Euclidean distance method of classifying range profiles. However, because it is model based, it offers much more flexibility, and will perform better in situations where there is little training data
Keywords :
pattern classification; radar altimetry; radar signal processing; self-organising feature maps; Euclidean distance method; Kohonen SOMs; model based approach; radar range profile classification; range profile categories; self organising maps; topographic mapping method; topographic mapping neural network training; training data;
Conference_Titel :
Artificial Neural Networks, 1995., Fourth International Conference on
Conference_Location :
Cambridge
Print_ISBN :
0-85296-641-5
DOI :
10.1049/cp:19950578
