High-speed Recognition Algorithm Based on BRISK and Saliency Detection for Aerial Images

Xiao Tengjiao, Zhao Danpei, Shi Jun, Lu Ming
2013 2013 Third International Conference on Intelligent System Design and Engineering Applications  
A fast ground object recognition method for aerial images, taking airports, oil depots, harbors, etc., as research objects, is proposed in this study based on BRISK and the visual saliency detection. According to the characteristics of aerial images, such as high resolution and complex background interference, saliency detection is applied to select the candidate object region where the target may exist. Therefore, it can reduce the searching range effectively. And then, BRISK matching method
more » ... used to recognize the object efficiently. A variety of experiments under different interference factors are carried out based on the typical object database of aerial images in this study. Experimental results show that the proposed algorithm can not only maintain the validity of BRISK features under the conditions of rotation, scale, illumination and viewpoint changes, but also shorten the matching time, satisfying real-time demand.
doi:10.1109/isdea.2012.194 fatcat:6c3j562acvaghiwvej75chw7g4