摘要
随着无人机技术的发展,无人机航空摄影已在众多行业得到广泛应用,无人机航拍影像自动拼接技术可以快速获取宽视域、高分辨率的图像。文章基于OpenCV计算机视觉库和SIFT图像匹配算法,采用Python开发语言,围绕无人机航拍影像的特征检测与匹配、单应性矩阵计算、图像透视变换、重叠区域影像融合等问题进行研究,实现了无人机影像的快速拼接,并进行了试验,结果证明算法和技术方法可行。
With the development of UAV technology,UAV aerial photography has been widely used in various industries.UAV aerial image automatic mosaic technology can quickly obtain wide field of view and high resolution images.In this paper,based on OpenCV computer vision library and sift image matching algorithm,python language is used to study the feature detection and matching,homography matrix calculation,image perspective transformation and image fusion of overlapping regions of UAV aerial images.The UAV image mosaic is realized,and the experiment results show that the algorithm and technical method are feasible.
作者
刘洪江
曹玉香
李佳
梅锋
方爱
季维虎
Liu Hongjiang;Cao Yuxiang;Li Jia;Mei Feng;Fang Ai;Ji Weihu(Hangzhou Geotechnical Engineering and Surveying Institute,Hangzhou 310012,China;Zhejiang Gongshang University Public Administration School,Hangzhou 310018,China;Hangzhou CBD Investment Group Science and Information Department,Hangzhou 310016,China)
出处
《城市勘测》
2021年第2期83-86,共4页
Urban Geotechnical Investigation & Surveying
