31 July 2020 Multitarget location capable of adapting to complex geomorphic environment for the airborne photoelectric reconnaissance system
Guanbing Bai, Yueming Song, Yujia Zuo, Mingchao Song, Xuan Wang
Author Affiliations +
Abstract

In order to achieve accurate locations of multiple targets on an airborne optoelectronic platform, we propose a multitarget location system based on the digital elevation model and a multitarget location model based on the target vector. Through the target detection algorithm, the pixel coordinates of each target in the field of view can be obtained and the visual axis vector of each target is constructed. By integrating the measurement data of each sensor in an unmanned aerial vehicle and the photoelectric platform, the geographical location information of each target can be calculated. In the condition of a flight height of 3000 m, the location error for the main target is 16.47 m, and the location error for the secondary target is about 27.36 m. The effect of the improved filtering model is analyzed. After filtering, the main target location error is reduced to 7 m, and the secondary target location error is reduced to 11 m. The proposed method has the advantages of high real-time performance, high location accuracy, and convenient engineering application.

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2020/$28.00 © 2020 SPIE
Guanbing Bai, Yueming Song, Yujia Zuo, Mingchao Song, and Xuan Wang "Multitarget location capable of adapting to complex geomorphic environment for the airborne photoelectric reconnaissance system," Journal of Applied Remote Sensing 14(3), 036510 (31 July 2020). https://doi.org/10.1117/1.JRS.14.036510
Received: 17 February 2020; Accepted: 23 July 2020; Published: 31 July 2020
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Unmanned aerial vehicles

Error analysis

Monte Carlo methods

Filtering (signal processing)

Imaging systems

Cameras

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