基于改进SIFT的低空遥感影像拼接系统设计

Design of low-altitude remote sensing image splicing system based on improved SIFT

无人机搭载数码相机进行低空拍摄所得的图像分辨率较大、视角有限,为了获取大视角便于监控整个目标区域,设计并实现了低空遥感影像拼接系统。该系统基于wxWidgets框架进行界面开发、C++实现具体算法,首先通过计算图像像素点方差的方法对多幅图像进行重叠区域预判,然后使用SIFT算子对重叠区域提取特征之后将该区域分块进行匹配,最后采用多分辨率融合算法对匹配后的图像进行融合,实现了对大量遥感影像的快速拼接,得到了一幅视野效果良好的林地全景图。

Unmanned aerial vehicle(UAV)is equipped with digital camera to take low-altitude photographs.The image resolution is large and the view angle is limited.In order to obtain large view angle and monitor the whole target area,a low-altitude remote sensing image mosaic system is designed and implemented.The system is based on wxWidgets framework for interface development and C++implementation of specific algorithms.Firstly,the method of calculating the variance of image pixels is used to pre-judge the overlapping regions.Then,SIFT operator is used to extract features from the overlapping regions,and then the regions are matched.Matching,finally,the multi-resolution fusion algorithm is used to fuse the matched images,which realizes the rapid splicing of a large number of remote sensing images,and obtains a panoramic view of the woodland with good visual field effect.