Anomaly color detection on UAV images for search and rescue works
| Autor: | Dao Khanh Hoai, Nguyen Van Phuong |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Terrain 02 engineering and technology Color space 01 natural sciences 010309 optics 0103 physical sciences Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Anomaly detection Artificial intelligence Anomaly (physics) business Color detection Search and rescue |
| Zdroj: | KSE |
| Popis: | UAV images are important data sources for search and rescue works both on sea and on land. It is a modern, suitable technological solution and in many situations there is no alternative method. Geometrical approach to pattern recognition tasks does not address spectral abnormal signatures in captured scenes. In this study the authors have investigated effectiveness of anomaly detection algorithms on different color spaces transformed from UAV images. The main goal of the research is to discover the most appropriate couples algorithm — color space in different terrain types. The proposal approach have been validated on test datasets and has shown promising results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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