Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5070
Title: Preliminary radar feature extraction and recognition using texture measurement
Authors: Chen, Pi-Fuay.
Keywords: Classifiers
Feature Extraction
Image Texture
Radar Images
Solid-State Arrays
Issue Date: Jan-1983
Publisher: U.S. Army Engineer Topographic Laboratories.
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0315.
Description: Research note
Abstract: Preliminary results are presented for the automated extraction and classification of a selected set of radar imagery containing city, field, water, and forest images. A sensing array minicomputer system with image texture processing algorithm was employed for the scanning and conversion of radar images into digital signals and also for the extraction of a feature vector from the images. A sequential template-matching classifier was used for the classification of the set of radar imagery into preassigned categories. Slightly better than 90 percent classification accuracy was obtained.
URI: http://hdl.handle.net/11681/5070
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