Have I Ever been to this Place? A SIFT Based Method for UAV

Abstract:

Flight duration is a key design issue for the monitoring applications based on the UAVs. Based on the assumption that UAVs often fly at a high altitude, the resolution of images captured by the UAVs is not high enough. Thus, the problem of positioning the UAV can be solved by image matching. When a UAV comes to a certain place that it has ever been to, there are the same objects in the images that it takes currently and a short time ago. We propose a text retrieval like method based on SIFT vectors for computation efficient in image matching. Experiments show that our method is good at discriminating between images taken at different places.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 1386-1390
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.1386
• Online since: September 2014
• Authors: Ming Jiang Zhang, Liang Liu*, Jing Jing Zhang, Wan Guo Wang, Chuan Hu Wei, Tian Ru Zheng
• Keywords: Image Matching, Localization, SIFT, UAV

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