In recent years, with the continuous development of drone technology, UAVs are used as unmanned and flightable devices, UAV plays an important role in remote sensing and GIS disciplines. During the flight, no one directly participates in flight-related decisions such as flight routes, path planning, and flight control. In this case, it is necessary to use the computing power of the onboard computer of the UAV system, the computing power of the ground station computer, and related technologies such as detecting sensing, image vision, real-time wireless communication, etc., to develop target planning, decision-making and control algorithms for specific problems, and to solve the problem. Flight planning and flight control issues in machine applications. The UAV route optimization method based on the double target of confidence and ambiguity has positive significance for route optimization and wide application of UAV. In this context, this paper aims to analyze and study the UAV route optimization method based on the two goals of confidence and ambiguity.

中文翻译：

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基于置信度和模糊度双目标的无人机航路优化方法

近年来，随着无人机技术的不断发展，无人机被用作无人可飞行的设备，无人机在遥感和GIS学科中发挥着重要作用。在飞行过程中，没有人直接参与飞行路线、路径规划、飞行控制等与飞行相关的决策。在这种情况下，就需要利用无人机系统机载计算机的计算能力、地面站计算机的计算能力，以及检测传感、图像视觉、实时无线通信等相关技术，开发针对特定问题的目标规划、决策和控制算法，并解决问题。机器应用中的飞行计划和飞行控制问题。基于置信度和模糊度双重目标的无人机航路优化方法对无人机航路优化和广泛应用具有积极意义。在此背景下，本文旨在分析和研究基于置信度和模糊度两个目标的无人机航路优化方法。