基于DLT算法的微型无人机(MUAV)视频影像的几何纠正方法

 高精度真正射影像在灾害监测、紧急救援与反恐决策等应用领域有着广泛的应用前景。利用微型低空无人飞机获取高精度的视频影像流，对影像流进行重采样，借助直接线性变换（DLT）方法，以GPS、INS集成系统获取的摄像机外方位元素为初始值进行内方位元素解算，以此进行视频影像分割后单幅影像的几何纠正，给出了纠正影像的拼接结果。研究表明，在DEM/DSM、DOQQ的精度与视频影像精度匹配条件下，可获得高精度（亚米级）的真正射影像。

GEOMATRIC RECTIFICATION FOR VIDEO IMAGE FROM MUAV BASED ON DLT

In recent years,the Unmanned Aerial Vehicles(UAVs) have aroused increasing interests among experts for such civilian applications as disaster monitoring,surveillance and spatial decision-making support.The high-resolution orthoimage generated from the UAVs video image stream can be used as a basic map for planners and decision-makers to make decisions by obtaining high precision geospatial data through registering,compiling,measuring and analyzing the orthoimage.This paper presents the methods for producing the true orthoimage from UAVs streams.The IOPs are calculated by using iteration algorithm having the EOPs obtained from GPS and INS system as initial values,and these parameters are used for rectification of UAVs image.Experimental results show that all the orthoimages are of high accuracy under the condition that DEM/DSM,DOQQ and UAVs video image have the same resolution.