Surface Reconstruction Via Data Preprocessing and the Curvature Interpolation Method for Geospatial Point Cloud Data

Download or read book Surface Reconstruction Via Data Preprocessing and the Curvature Interpolation Method for Geospatial Point Cloud Data written by Hwamog Kim and published by . This book was released on 2019 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surface reconstruction for scattered data is an ill-posed problem and most computational algorithms become overly expensive as the number of sample points increases. This dissertation studies an effective partial differential equation (PDE)-based algorithm, called the curvature interpolation method with iterative refinement (IR-CIM). The new method iteratively utilizes curvature-related information which is estimated from an intermediate surface of the nonuniform data and plays a role of driving force for the reconstruction of a reliable image surface. The IR-CIM is applied for apparent soil electro-conductivity (ECa) data sets and digital elevation modeling for geospatial point cloud data of overlapping strip scans acquired by light detection and ranging (LiDAR) technology. This dissertation also introduces an effective initialization strategy for large areas of missing data and a robust method for the elimination of Moire effect over strip overlaps. The resulting algorithm con- ́ verges to a piecewise smooth image, with little dependence on sample rates, outperforming inverse-distance weighting methods in both efficiency and accuracy.