@inproceedings{a6a4109e7d4f4f3e9e1f31ec64ff1b35,
title = "Visual saliency landmark detection algorithm based on DNN feature extraction",
abstract = "The integrated navigation pattern that is formed by the scene matching navigation and the inertial navigation or the satellite navigation is an important development direction of UAV autonomous navigation technology. As for the error identification problem of matching area in the process of scene matching landmark detection, the algorithm of visual saliency landmark detection for scene matching based on deep neural network for feature extraction is proposed. The experiments illustrated that the algorithm can effectively solve the problem of landmark detection in different environments and improve the robustness and effectiveness of landmark detection.",
keywords = "Deep learning, Feature extraction, Landmark detection, Scene matching, Visual saliency",
author = "Chunhui Zhao and Yihui Zhou and Yanyan Wei and Shan Jiang and Changbin Yu",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7554221",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5551--5556",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
}