High-speed recognition algorithm based on BRISK and saliency detection for aerial images

A fast ground object recognition method for aerial images, taking airports, oil depots, harbors etc. as research objects, is proposed in this paper 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 is used to recognize the object efficiently. A variety of experiments under different interference factors are carried out base on the typical object database of aerial images in this paper. 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.