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Appl. Sci. 2017, 7(9), 906; doi:10.3390/app7090906

LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models

1
Universidad Politécnica de Madrid, University of Madrid, 28040 Madrid, Spain
2
Escuela de Ingenierías Industriales, University of Málaga, 29071 Málaga, Spain
3
Universidad Complutense de Madrid, University of Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 16 May 2017 / Revised: 10 August 2017 / Accepted: 4 September 2017 / Published: 12 September 2017
(This article belongs to the Special Issue Laser Scanning)
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Abstract

There are currently several new technologies being used to generate digital elevation models that do not use photogrammetric techniques. For example, LiDAR (Laser Imaging Detection and Ranging) and RADAR (RAdio Detection And Ranging) can generate 3D points and reflectivity information of the surface without using a photogrammetric approach. In the case of LiDAR, the intensity level indicates the amount of energy that the object reflects after a laser pulse is transmitted. This energy mainly depends on the material and the wavelength used by LiDAR. This intensity level can be used to generate a synthetic image colored by this attribute (intensity level), which can be viewed as a RGB (red, green and blue) picture. This work presents the outline of an innovative method, designed by the authors, to generate synthetic pictures from point clouds to use in classical photogrammetric software (digital restitution or stereoscopic vision). This is conducted using available additional information (for example, the intensity level of LiDAR). This allows mapping operators to view the LiDAR as if it were stereo-imagery, so they can manually digitize points, 3D lines, break lines, polygons and so on. View Full-Text
Keywords: LiDARgrammetry; synthetic models; LiDAR; photogrammetry; radargrammetry LiDARgrammetry; synthetic models; LiDAR; photogrammetry; radargrammetry
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rodríguez-Cielos, R.; Galán-García, J.L.; Padilla-Domínguez, Y.; Rodríguez-Cielos, P.; Bello-Patricio, A.B.; López-Medina, J.A. LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models. Appl. Sci. 2017, 7, 906.

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