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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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