无人机低空遥感技术是航空遥感领域一个新的发展方向,具有低成本、快捷、灵活机动,以及数据高时效、高分辨率等特点。本文以无人机低空遥感在黑河流域中游张掖的应用为例,介绍了无人机低空遥感系统的基本构成,论述了影像数据的获取、影像的匀色、特征点的提取与匹配、几何纠正与镶嵌、DTM和DOM的生成等处理流程与分析方法。实验结果表明,无人机低空遥感系统能够满足局部区域内的高分辨率、大比例尺基础数据采集的实际需求,在三维重建、土地调查、环境监测等领域具有良好的应用前景。
Remote sensing based on UAV (Unmanned Aerial Vehicle) has more advantages over the traditional methods, such as low cost, high efficiency and remarkable flexibility. In this paper, the composition of UAV remote sensing system was introduced, the work flow and analyze methods were described, such as acquisition of raw images, feature extraction and matching, ortho rectication and mosaicing, generation of DTM (Digital Terrain Model) and DOM (Digital Orthophoto Map). Experimental results showed that low-altitude UAV remote sensing could meet the needs of the large scale mapping, three dimensional landscape reconstruction, land use survey, and environmental monitoring.