Geological Segmentation on UAV Aerial Image Using Shape Based LSM with Dominant Color
This paper proposed a geological segmentation algorithm to segment different geology, such as rivers, woodlands, and soil, etc. according on differences image feature of geology for aerial photography. In this paper, aerial image capture from low flying quadcopter unmanned aircraft vehicle (UAV) Using Fuzzy C Mean method for aerial image color classification, and estimate some dominant colors of aerial image. And then estimates each dominant color similar distribution map. Finally, shape based level set method (LSM) is employed to segment the distribution of geological that the dominant color represents. The experimental results show that the proposed algorithm is efficacious and reliable in geological segmentation.
2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)