Ms. Lian Chen Profile

Lian Chen

at Tianjin Jinhang Institute of Technical Physics

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Publications (2)

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Proceedings Article | 5 November 2020 Paper

Research on fast target positioning algorithm for air-to-ground photoelectric tracking platform

Shi-ze Dong, Chuan-gang Xu, Lian Chen, Jiang-peng Song

Proceedings Volume 11567, 115673N (2020) https://doi.org/10.1117/12.2580214

KEYWORDS: Target detection, Detection and tracking algorithms, Navigation systems, Unmanned aerial vehicles, Reconnaissance, Optical tracking, Distance measurement

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Air-to-ground photoelectric tracking platforms are often installed in unmanned aerial vehicles or various military weapons, and they play a major role in terrain mapping and military investigation. In the course of implementing tasks such as UAV reconnaissance and weapon strikes, the photoelectric tracking platform plays the role of identification and tracking. This paper proposes and compares the methods for calculating the position of the target detected by the platform based on the information of the photoelectric tracking platform attitude, the attitude of the platform carrier, such as the drone or the weapon body attitude, and the target distance. First, a conventional method is proposed, which is to obtain the target's latitude and longitude using coordinate transformation and other methods based on the information such as the target distance, platform and carrier attitude. In order to better meet the needs of rapidity, a method for obtaining the target latitude and longitude according to the distance of the target from the carrier in all directions is proposed. This method has a simple calculation process but a reduced accuracy. To ensure accuracy on the basis of improving real-time performance, consider For the spherical nature of the earth, a method of using spherical triangles to solve the target position is also proposed. Finally, use actual measured data to test and compare the practicability and accuracy of various methods. After testing, the three methods can achieve precise positioning of the target and meet the performance indicators.

Proceedings Article | 5 November 2020 Paper

Design of elimination image rotation algorithm based on photoelectric tracking platform

Shi ze Dong, Chuan-gang Xu, Lian Chen, Jiang-peng Song

Proceedings Volume 11567, 115672J (2020) https://doi.org/10.1117/12.2579905

KEYWORDS: Image processing, Image analysis, Target detection, Optical tracking

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The photoelectric tracking platform is often installed in various military and civilian equipment such as unmanned aerial vehicles, and has multiple high-precision detection and tracking equipment such as visible light and infrared thermal imaging cameras. In the detection process of various detection imaging systems, because the optical detection equipment is fixed on a carrier aircraft such as an unmanned aerial vehicle, the imaging system often rotates the detection image due to the rolling, pitch and yaw movement of itself and the carrier. In this regard, this article will analyze the principle of the image rotation problem caused by the photoelectric tracking platform in the detection and tracking of the target, and design an algorithm to eliminate the image rotation. First of all, this article clearly understands the purpose and indicators of rotation, carefully analyzes the reasons for the problem of image rotation, improves the definition of the relevant coordinate system and the relationship between them, and finally derives the value of the image rotation angle and performs the operation of eliminating the image rotation. And image post-processing operations. After testing, the designed algorithm can solve the problem of rotation of the image presented by the photoelectric tracking platform, and the processed image is easier to observe and capture manually or by related algorithms.

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