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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 |
| 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. |
| Rights: | Approved for public release; distribution is unlimited. |
| URI: | http://hdl.handle.net/11681/5070 |
| Appears in Collections: | Research Note |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ETL-0315.pdf | 827.12 kB | Adobe PDF |  View/Open |