中国有色金属学报(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 21 Special 3 December 2011 |
control points data in earthquake disaster area
（1. School of Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China;
2. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education,
Beijing Normal University, Beijing 100875, China;
3. Ministry of Civil Affairs/Ministry of Education of China Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China）
Abstract:The methods of unmanned aerial vehicles images splicing rapidly and rectifying without control points data, only using auxiliary data recorded by unmanned aerial vehicle (UAV) system, were researched. Two algorithms were proposed, including UAV images auto- splicing rapidly after image blocking and UAV images rectifying based on pseudo center points of auxiliary data. When SIFT algorithm for UAV images splicing is applied, the accuracy is very high, but the efficiency is very low. The splicing efficiency is improved greatly based on SIFT algorithm after image blocking. The results show that rectifying accuracy is very high and has no visual dislocation when pseudo center points of auxiliary data is applied.
Key words: unmanned aerial vehicles; SIFT algorithm; blocking; quickly splicing; rectification
