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.

Report Date:

1986-10-01

Pagination or Media Count:

32.0

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 and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE