A Scale Invariant Feature Transform based Matching Approach to Unmanned Aerial Vehicles Image Geo-reference with Large Rotation Angle

摘要：

A SIFT (Scale Invariant Feature Transform) based image feature extraction and key points matching approach is proposed for the triangle adjustment calculation of the UAV (Unmanned Aerial Vehicles) images with large rotation angle. The aerial triangle experiment of 16 strips with 787 UAV images shows the SIFT based UAV image matching approach can obtain more than 400 stable image matched key points per image so that it can realize robust external orientation parameters with AT(Aerial Triangle) than the traditional AAT(Automatic Aerial Triangle). The GCPs (Ground Control Points) accuracy of AT is less than 0.4m which can meet the requirement of 1:1000 scale map.

关键词： UAV Geo-reference SIFT Matching External Orientation

作者: Qingwu Hu Mingyao Ai

作者单位: School of Remote Sensing and Information Engineering,Wuhan University No.129,Luoyu Road, Wuhan, Hubei Province, P.R.China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

会议地点: 福州

会议语种:英文

页码: 393-396

在线出版日期: 2011-06-29（万方平台首次上网日期，不代表论文的发表时间）