Airborne and Vehicle-borne LiDAR Point Cloud Registration Algorithm Based on the Normal Distance Feature between Line Pairs
Aiming at the problem of inaccurate transformation parameters caused by inconsistent line pair lengths,this paper proposes a heterogenous point cloud registration algorithm based on the normal distance feature between line pairs.The algorithm screens corre-sponding line pairs by taking the Hausdorf distance between line segments as the similarity measure,removes ambiguous corresponding line pairs such as one-to-many cases according to the number of occurrence of the line pair indexes,and introduces the normal dis-tance feature between line pairs to jointly construct registration model to solve the registration problem when the unequal lenth line pair exists.The measured data show that in the case of unequal length of line pairs,the planimetric distance deviation after registration of this algorithm is 15.6 mm,which can realize the registration of airborne and vehicle-borne point clouds.
heterogenous point cloud registrationline featuresendpoint mismatchesinconsistent pair lengths
NETL
NSTL
万方数据
