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