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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 |
| 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. |
| Rights: | Approved for public release; distribution is unlimited. |
| URI: | http://hdl.handle.net/11681/5063 |
| Appears in Collections: | Research Note |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ETL-0502.pdf | 779.81 kB | Adobe PDF |  View/Open |