Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5049
Title: Classification of selected radar imagery patterns using a binary tree classifier
Authors: Fox, Neil D.
Keywords: Binary decision tree
Bayes classifier
Radar imagery
Feature selection
Issue Date: Oct-1986
Publisher: U.S. Army Engineer Topographic Laboratories.
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0442.
Description: Research note
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.
URI: http://hdl.handle.net/11681/5049
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