Computer Vision Aided Optical Correlator for SAR Target Recognition
| Autor: | Xintao Meng, Xingzhao Liu, Yesheng Gao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Synthetic aperture radar
genetic structures Computer science business.industry fungi ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION eye diseases Domain (software engineering) body regions ComputingMethodologies_PATTERNRECOGNITION Optical imaging Optical correlator Computer vision Ray tracing (graphics) Artificial intelligence skin and connective tissue diseases Adaptive optics business |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9324505 |
| Popis: | Target recognition is important in SAR applications. Conventional SAR target recognition is based on digital processing.A computer vision aided optical correlator is proposed in this paper. The method is implemented by the correlation between the SAR images and the target library in the optical domain. Ray tracing is used to generate the efficient and accurate target library, and the target parameters are adjustable. Finally, experiment results validate the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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