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

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...

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Main Authors: Ricardo Rodríguez-Cielos, José Luis Galán-García, Yolanda Padilla-Domínguez, Pedro Rodríguez-Cielos, Ana Belén Bello-Patricio, José Antonio López-Medina
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/7/9/906
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author Ricardo Rodríguez-Cielos
José Luis Galán-García
Yolanda Padilla-Domínguez
Pedro Rodríguez-Cielos
Ana Belén Bello-Patricio
José Antonio López-Medina
author_facet Ricardo Rodríguez-Cielos
José Luis Galán-García
Yolanda Padilla-Domínguez
Pedro Rodríguez-Cielos
Ana Belén Bello-Patricio
José Antonio López-Medina
author_sort Ricardo Rodríguez-Cielos
collection DOAJ
description 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.
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spelling doaj.art-8ddaa43c9cce438eb660e959b73f23f02022-12-21T22:47:55ZengMDPI AGApplied Sciences2076-34172017-09-017990610.3390/app7090906app7090906LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation ModelsRicardo Rodríguez-Cielos0José Luis Galán-García1Yolanda Padilla-Domínguez2Pedro Rodríguez-Cielos3Ana Belén Bello-Patricio4José Antonio López-Medina5Universidad Politécnica de Madrid, University of Madrid, 28040 Madrid, SpainEscuela de Ingenierías Industriales, University of Málaga, 29071 Málaga, SpainEscuela de Ingenierías Industriales, University of Málaga, 29071 Málaga, SpainEscuela de Ingenierías Industriales, University of Málaga, 29071 Málaga, SpainUniversidad Complutense de Madrid, University of Madrid, 28040 Madrid, SpainUniversidad Politécnica de Madrid, University of Madrid, 28040 Madrid, SpainThere 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.https://www.mdpi.com/2076-3417/7/9/906LiDARgrammetrysynthetic modelsLiDARphotogrammetryradargrammetry
spellingShingle Ricardo Rodríguez-Cielos
José Luis Galán-García
Yolanda Padilla-Domínguez
Pedro Rodríguez-Cielos
Ana Belén Bello-Patricio
José Antonio López-Medina
LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models
Applied Sciences
LiDARgrammetry
synthetic models
LiDAR
photogrammetry
radargrammetry
title LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models
title_full LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models
title_fullStr LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models
title_full_unstemmed LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models
title_short LiDARgrammetry: A New Method for Generating Synthetic Stereoscopic Products from Digital Elevation Models
title_sort lidargrammetry a new method for generating synthetic stereoscopic products from digital elevation models
topic LiDARgrammetry
synthetic models
LiDAR
photogrammetry
radargrammetry
url https://www.mdpi.com/2076-3417/7/9/906
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AT yolandapadilladominguez lidargrammetryanewmethodforgeneratingsyntheticstereoscopicproductsfromdigitalelevationmodels
AT pedrorodriguezcielos lidargrammetryanewmethodforgeneratingsyntheticstereoscopicproductsfromdigitalelevationmodels
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