Accession Number : ADA183370
Title : Classification of Selected Radar Imagery Patterns Using a Binary Tree Classifier.
Descriptive Note : Research note Dec 83-Sep 84,
Corporate Author : ARMY ENGINEER TOPOGRAPHIC LABS FORT BELVOIR VA
Personal Author(s) : Fox,Neil D
PDF Url : ADA183370
Report Date : Oct 1986
Pagination or Media Count : 32
Abstract : This report details the results of classifying radar imagery using a binary tree classifier. It was found that this classification algorithm works well with radar imagery, which would indicate a normal (Gaussian) feature vector distribution. The number of elements in each feature vector is the limiting factor, classification time is negligible once the tree structure has been created. Keywords: Binary decision tree; Bayes classifier; Radar imagery; and Feature selection.
Descriptors : *DECISION THEORY, *RADAR IMAGES, *TREES, *CLASSIFICATION, *PATTERNS, ALGORITHMS, DISTRIBUTION, LIMITATIONS, TIME, VECTOR ANALYSIS
Subject Categories : Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE