The invention discloses a satellite task planning control and image intelligent processing embedded implementation method. The method comprises the following steps: S1, constructing a remote sensing satellite task planning mathematical model and a target recognition algorithm model based on a YOLO v3 network; s2, transplanting the task planning mathematical model and the target recognition algorithm model into a preset embedded platform; s3, determining the attitude of the remote sensing satellite, obtaining an attitude control algorithm of the remote sensing satellite, and obtaining a remote sensing image of the remote sensing satellite based on the attitude information of the remote sensing satellite and the task planning mathematical model; and S4, inputting the remote sensing image into the target recognition algorithm model for target recognition, and then outputting a recognition result. According to the method, the constructed task planning mathematical model and the target recognition algorithm model are creatively transplanted to the preset embedded platform, and the whole-process operation of task planning and control, remote sensing image acquisition and remote sensing image processing of the remote sensing satellite is realized based on the preset embedded platform, so that the requirement of processing efficiency is met.
本发明公开了一种卫星任务规划控制与图像智能处理嵌入式实现方法,包括步骤:S1、构建遥感卫星任务规划数学模型和基于YOLO v3网络的目标识别算法模型;S2、将任务规划数学模型和目标识别算法模型移植到预设的嵌入式平台中;S3、确定遥感卫星姿态并获取遥感卫星的姿态控制算法,基于遥感卫星姿态信息和任务规划数学模型获取遥感卫星的遥感图像;S4、将遥感图像输入目标识别算法模型中进行目标识别,进而输出识别结果。本发明创造性的将所构建的任务规划数学模型和目标识别算法模型移植到预设的嵌入式平台,基于预设的嵌入式平台实现遥感卫星的任务规划与控制、遥感图像获取和遥感图像处理的全流程操作,从而满足了处理效率的需求。
Satellite task planning control and image intelligent processing embedded implementation method
一种卫星任务规划控制与图像智能处理嵌入式实现方法
2023-04-21
Patent
Electronic Resource
Chinese
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