학술논문
Anomaly color detection on UAV images for search and rescue works
Document Type
Conference
Author
Source
2017 9th International Conference on Knowledge and Systems Engineering (KSE) Knowledge and Systems Engineering (KSE), 2017 9th International Conference on. :287-291 Oct, 2017
Subject
Language
Abstract
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.