TY - GEN
T1 - High-speed recognition algorithm based on BRISK and saliency detection for aerial images
AU - Tengjiao, Xiao
AU - Danpei, Zhao
AU - Jun, Shi
AU - Ming, Lu
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Aerial images
KW - BRISK matching
KW - Object recognition
KW - Saliency detection
UR - https://www.scopus.com/pages/publications/84874471611
U2 - 10.1109/ISDEA.2012.194
DO - 10.1109/ISDEA.2012.194
M3 - 会议稿件
AN - SCOPUS:84874471611
SN - 9780769549231
T3 - Proceedings of the 2013 3rd International Conference on Intelligent System Design and Engineering Applications, ISDEA 2013
SP - 816
EP - 819
BT - Proceedings of the 2013 3rd International Conference on Intelligent System Design and Engineering Applications, ISDEA 2013
T2 - 2013 3rd International Conference on Intelligent System Design and Engineering Applications, ISDEA 2013
Y2 - 16 January 2013 through 18 January 2013
ER -