Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5063
Title: Improving classification accuracy of radar image using a multiple-stage classifier
Authors: Fox, Neil D.
Chen, Pi-Fuay.
Keywords: Radar image
Feature extraction
Texture
Histogram
Classification
Pattern recognition
Edge operators
Issue Date: Sep-1988
Publisher: Cold Regions Research and Engineering Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0502.
Description: Research note
Abstract: A simple method was introduced to classify, radar image samples repeatedly for achieving a higher accuracy than by using a single-stage classifier. A Sobel edge operator was applied between the stages of classification to enhance the difference in texture between categories of radar image samples, thus reducing the overlap of image categories.
URI: http://hdl.handle.net/11681/5063
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