GFTT+FREAK的小型测绘无人机遥感图像自动拼接技术

Research of Remote Sensing Image Automatic Splicing Technique of Surveying and Mapping SUAV Based on GFTT+FREAK

针对目前广泛应用的小型测绘无人机遥感影像易受尺度、倾斜和光照等变化影响,导致影像拼接难度大的问题,提出了一种基于GFTT+FREAK的局部特征匹配能够适用于小型测绘无人机的遥感影像拼接方法,该算法可以直接提取未经预处理的测绘无人机拍摄图像的局部特征,通过局部特征匹配进行图像拼接,保证拼接准确性的同时,大大提高了测绘影像拼接的效率。

Aiming at the problem that the remote sensing images of SUAV are susceptible to scale,inclination and light,which makes image splicing difficult,a local feature image splicing algorithm based on GFTT+FREAK for SUAV is proposed.The algorithm can directly extract the partial feature of the original image of the unpreprocessed UAV survey image and stitch the image based on partial feature matching,so the accuracy and efficiency of the UAV survey image are significantly improved.