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 p...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.展开更多
基金Project(41071259)supported by National Natural Science Foundation in China
文摘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.
