基于改进PSO算法的遥感卫星测绘系统设计

Design of remote sensing satellite mapping system based on improved PSO algorithm

摘要

针对受到场景不规则轮廓影响,数据提取不精准,导致测绘结果与实际不符问题,提出了基于改进PSO算法的遥感卫星测绘系统设计。由测绘相机、数据接收和发送处理器、遥感信息提取器构成系统硬件结构;使用三线阵立体航测相机,使其像面分开,保证摄影立体角,准确反映物体和场景的特征;使用TYPE-C无线接收器,建立、保持和释放逻辑数据链路规则;使用RPM840-H11E2数据发送器,发送数据;使用PLC通讯模块处理器,处理数据。计算粒子最优速度和位置,保证寻优过程始终跟随当前解,逐步获取遥感卫星测绘数据提取结果,设计测绘步骤,确定场景轮廓测点。由实验结果可知,该系统距离向、方位向数据提取结果与实际数据最大误差为0.01,为保证遥感工程实时获取精准信息提供支持。

Abstract

In order to solve the problem that the data extraction is not accurate due to the irregular contour of the scene, and the mapping results are not consistent with the reality, a remote sensing satellite mapping system design based on the improved PSO algorithm is proposed. The system hardware structure consists of a mapping camera, data receiving and transmitting processor, and remote sensing information extractor. Using a three-line array stereoscopic aerial camera, the image planes are separated to ensure the stereoscopic angle and accurately reflecting the characteristics of objects and scenes. Type-C wireless receiver is used to establish, maintain, and release logical data link rules. RPM840-H11E2 data transmitter is used to send data; PLC communication module processor is used to process data. The optimal velocity and position of particles are calculated to ensure that the optimization process always follows the current solution, gradually obtain the extraction results of remote sensing satellite mapping data, design the mapping steps, and determine the scene contour measurement points. According to the experimental results, the maximum error between the distance and azimuth data extracted by the system and the actual data is 0.01, which provides support for ensuring the real-time acquisition of accurate information by remote sensing engineering.

关键词

改进PSO算法 / 遥感卫星 / 测绘 / 系统设计 / 粒子搜索 / 寻优

Key words

improved PSO algorithm / remote sensing satellites / surveying and mapping / system design / particle search / optimization