Researches of Sea Surface Ship Target Auto-recognition Based on Wavelet Transform
| Autor: | Yu-ye Zhang, Kai-duan Li, Ying-jie Li |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
business.industry Noise (signal processing) Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition Surface ship Wavelet transform Pattern recognition Object detection Feature (computer vision) ComputerApplications_MISCELLANEOUS Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence business GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) |
| Zdroj: | 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization. |
| DOI: | 10.1109/icsem.2010.59 |
| Popis: | On sea surface, ship targets’ background is simple. But ships usually have complex structure. In order to realize auto-recognition of warship or ship, we adopt wavelet transform which has characteristic of multi-resolution and is easy to eliminate noise and operated conveniently. Ship’s structural edge feature will be extracted by wavelet transform. And according to ships’ feature database, warship and ship’s type auto-recognition can be realized. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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