The Design of Image Processing Software Based on UAV Remote Sensing Platform

As a sort of low-altitude remote sensing technology, UAV remote sensing possesses the advantages that satellite remoting sensing and traditional aerial remote sensing do not have. It can be effectively used as an indispensable supplementary means for obtaining remote sensing images. The paper develops a set of image processing systems basing on the characteristics of UAV remote sensing platform, which can provide digital images with high quality as well as high resolution. In this paper, firstly, a series of preprocessing such as noise reduction and enhancement will be performed on the obtained data. Then, the feature points in the images will be extracted, the potential image matching pairs will be set up and the mosaicking process will be completed. Finally, the UAV remote sensing images will be segmented and the road extraction of UAV remote sensing can be realized. Experiments show that with known camera calibration parameters, the accuracy of image mosaic is high. Also, roads are extracted from the sequence of images taken by the UAV continuously, with an accuracy of more than 90%.