UAV reconnaissance images targeting method

Shuai Yang; Hong Cheng; Ting Li; Wenbang Sun

doi:10.1117/12.2244925

29 August 2016 UAV reconnaissance images targeting method

Shuai Yang, Hong Cheng, Ting Li, Wenbang Sun

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100333X (2016) https://doi.org/10.1117/12.2244925
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In order to increase the accuracy of locating the object by UAV, a robust algorithm based on image-reconnaissance is proposed. First, to record real-time objects reconnoitered by the photovoltaic system on the image. Then, to combines the target’s coordinates on the image with UAV flight parameters. Finally, through coordinate transformation, geometric calculation and other processes, it is able to locate the target’s geodetic coordinates. Monte Carlo simulation is introduced to the simulation experiments, to prove that this targeting method can meet the requirements of practical application. Experimental results show that the proposed algorithm has a good real-time performance, accuracy and reliability.

Citation Download Citation

Shuai Yang, Hong Cheng, Ting Li, and Wenbang Sun "UAV reconnaissance images targeting method", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333X (29 August 2016); https://doi.org/10.1117/12.2244925

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KEYWORDS

Unmanned aerial vehicles

Monte Carlo methods

Geodesy

Reconnaissance

Error analysis

Computer simulations

Detection and tracking algorithms

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