Preliminary radar feature extraction and recognition using texture measurement
Research noteAbstract: 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.
U.S. Army Engineer Topographic Laboratories.Engineer Research and Development Center (U.S.)
Classifiers; Feature Extraction; Image Texture; Radar Images; Solid-State Arrays
ETL ; 0315.
Approved for public release; distribution is unlimited.