山地地理测绘勘探中反射式激光雷达回波特征优化

2023,31(10):299-305
刘胜杰, 黄振利, 杨磊, 刘云龙
中国人民解放军第32022部队
摘要:地理测绘勘探激光雷达回波特征在山地区域应用,会出现光斑回波叠加,导致坐标混乱,特征监测效果差。本研究结合反射式激光雷达,在采集山地地理特征光斑数据的基础上,优化设计反射式激光雷达在山地地理测绘勘探中的应用过程,并确定其相关参数。通过分区对山地地理一一扫描,整合扫描结果,采集该山地地理特征的激光雷达回波数据。设计一种光斑回波波形分解模型,通过分解处理获取地理特征,去除光斑回波叠加干扰,在通过坐标和高程转换,解决坐标混乱问题,完成特征的监控。实验结果表明:该方法与传统的方法比较,能够更加有效监测出山地地理的变形量,监测效果好、监测性能较高。
关键词:反射式激光雷达;回波叠加;光斑数据;波形分解;地理特征;山地地理;测绘勘探

Study on optimal monitoring of echo characteristics of reflective lidar in mountain geographic mapping and exploration

Abstract:The application of geographical mapping and exploration lidar echo features in mountainous areas will result in overlapping of spot echo, leading to coordinate confusion and poor feature monitoring effect. In this study, the application process of reflective lidar in mountain geographic mapping and exploration is optimized and its relevant parameters are determined based on the collection of mountain geographic feature spot data with reflective lidar. By scanning the mountain geography one by one and integrating the scanning results, the lidar echo data of the mountain geographical characteristics are collected. A decomposition model of light spot echo waveform is designed to obtain geographical features through decomposition processing, remove the overlapping interference of light spot echo, solve the problem of coordinate confusion through coordinate and elevation conversion, and complete feature monitoring. The experimental results show that compared with the traditional methods, this method can more effectively monitor the deformation of mountain geography, with good monitoring effect and high monitoring performance.
Key words:Reflective lidar; Echo superposition; Flare data; Waveform decomposition; Geographical characteristics; Mountain geography; Surveying and mapping exploration
收稿日期:2023-01-04
基金项目:
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