Surface reconstruction via data preprocessing and the curvature interpolation method for geospatial point cloud data
<p>Surface reconstruction for scattered data is an ill-posed problem and most computational algorithms become overly expensive as the number of sample points increases. In this dissertation, we study an effective partial differential equation (PDE)-based algorithm, called the <i>curvatur...
Main Author: | Kim, Hwamog |
---|---|
Other Authors: | T. Len Miller |
Format: | Others |
Language: | en |
Published: |
MSSTATE
2019
|
Subjects: | |
Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-03202019-145044/ |
Similar Items
-
Digital elevation modeling via curvature interpolation for LiDAR data
by: Hwamog Kim, et al.
Published: (2016-03-01) -
Transdisciplinary Foundations of Geospatial Data Science
by: Yiqun Xie, et al.
Published: (2017-12-01) - Statistics preserving spatial interpolation methods for missing precipitation data
-
Data Preprocessing and Homogeneity: The Influence on Robustness and Modeling by PLS Via NIR of Fish Burgers
by: Caroline Marques, et al.
Published: (2019-12-01) -
Topics in interpolation and smoothing of spatial data
by: McNeill, Lindsay
Published: (2015)