Airborne LiDAR Data Strip Adjustment Based on Least Squares Matching and Independent Model

As a new kind of remote sensing sensor, airborne LiDAR (Light detection and Ranging) has gained much attention by photogrammetry and remote sensing community. This paper focuses on the matching and strip adjustment of airborne LiDAR data. A multi-strip least squares matching (LSM) method was proposed, which adopts a combined feature called quasi-height including both the height and reflectance information. For strip adjustment which aims to eliminate the effect of geometric errors, an independent model was proposed. To validate the efficiency of the methods in this paper, a real project experiment is conducted and the discrepancies among different overlapping strips are obtained which are used for the strip adjustment. The adjustment results demonstrate the efficiency of this matching method and adjustment model.