基于多源数据融合的平面目标前视模板制备

摘要

基于多源数据融合思想,提出了一种平面目标前视模板制备新方法.算法首先将DSM数据与正射影像图配准融合,提取平面目标三维地形数据,然后对目标进行三维形状重构,最后根据给定的飞行航迹,利用透视投影成像模型完成模板制备.算法解决了单像素边缘成像断裂和虚假边缘去除的问题.大量实测数据的实验结果表明,本文方法有效地实现了平面目标前视模板的制备.%Based on multi-sources data fusion,a novel method of forward looking template preparation for the flat target is proposed. Firstly, the 3D terrain data of the flat target are extracted based on the registration and fusion of DSM data and Ortho-photo image. Secondly,3D shape of the target is reconstructed. Finally,the template preparation is completed using perspective projection imaging model according to a given flight path. It can solve the problems of false edge removal and fracture when the single-pixel edge is imaged. Large amount of measured data from experiment show that the proposed method can effectively realize forward looking template preparation for planar target.