Record Details
Validation of Digital Surface Models (DSMs) Retrieved From Unmanned Aerial Vehicle (UAV) Point Clouds Using Geometrical Information From Shadows
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Validation of Digital Surface Models (DSMs) Retrieved From Unmanned Aerial Vehicle (UAV) Point Clouds Using Geometrical Information From Shadows |
| Creator | Aboutalebi, Mahyar Torres-Rua, Alfonso F. McKee, Mac Kustas, William Nieto, Héctor Coopmans, Calvin |
| Description | Theoretically, the appearance of shadows in aerial imagery is not desirable for researchers because it leads to errors in object classification and bias in the calculation of indices. In contrast, shadows contain useful geometrical information about the objects blocking the light. Several studies have focused on estimation of building heights in urban areas using the length of shadows. This type of information can be used to predict the population of a region, water demand, etc., in urban... |
| Date | 2019-05-14T07:00:00Z |
| Type | text |
| Format | application/pdf |
| Identifier | https://digitalcommons.usu.edu/aggieair_pubs/29 info:doi/10.1117/12.2519694 https://digitalcommons.usu.edu/context/aggieair_pubs/article/1030/viewcontent/AGAIRcenter2019AboutalebiTorres_RuaMcKee_ValidationDigitalSurface.pdf |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
| Source | AggieAir Publications |
| Publisher | Hosted by Utah State University Libraries |
| Contributor | International Society for Optics and Photonics |
| Subject | Unmanned Aerial Vehicles Statistical Analysis Error Analysis LIDAR Agriculture Satellites 3D Modeling Remote Sensing Aviation |
