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MAURICIO ROBERTO VERONEZ   Dr.  Institute, Department or Faculty Head 
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MAURICIO ROBERTO VERONEZ published an article in May 2018.
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David Balding

82 shared publications

Carla Gallo

45 shared publications

Giovanni Poletti

36 shared publications

Marta Rubio-Codina

27 shared publications

34
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Publication Record
Distribution of Articles published per year 
(1998 - 2018)
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22
 
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Article 0 Reads 0 Citations Análise bibliográfica sobre as potencialidades da aquisição de imagens multi e hiperespectrais por VANTs no auxílio à in... Édina Regina Rauber, Fabiane Bordin, Mônica Müller Anschau, ... Published: 07 May 2018
Revista Brasileira de Geomática, doi: 10.3895/rbgeo.v6n1.5924
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Bridges arose with the intention to facilitate the urban mobility. Therefore, it is essential the realization of periodic inspections and preventive maintenance, in order to identify possible pathological manifestations. Nowadays the techniques used are based on visual inspection, which the main problem is accessibility to all places in the bridge. In this sense, it is search other methods that can help these inspections, such as the use of unmanned aerial vehicles (VANTs) and multi and hyperspectral images. The methodology of the work consisted on the analysis of the current methods of inspection and identification of its requirements to compose solutions using the remote acquisition system. The inspection with this system ensures agility and security, as well as aid in the interpretation and analysis for the diagnosis of pathological manifestations.
PROCEEDINGS-ARTICLE 1 Read 0 Citations MOSIS — Multi-outcrop sharing & interpretation system Luiz Gonzaga, Mauricio Roberto Veronez, Demetrius Nunes Alve... Published: 01 July 2017
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), doi: 10.1109/igarss.2017.8128175
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The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for creating 3-D models of natural outcrops and surfaces studies have increased dramatically in the last few years. These techniques have provided an enormous amount of data for interpretation by geoscientists. However, these researchers have no available software capable of offering a user experience comparable to the fieldwork. The majority of solutions have considered desktop systems, which presents inherent limitations due to the 2-D characteristics of displays and loss of immersion into the 3-D model, or up until expensive and complex stereoscopic based approaches to improve the 3-D user experience do not offer well suitable solutions. To address these limitations, this paper presents a low-cost completely disruptive solution for processing, visualizing, sharing and directly handling Digital Outcrop Models with the support of a full interpretation toolset, the MOSIS System. The proposed system provides a fully immersive computational environment, capable of teleporting virtually geoscientists to the fieldwork, giving an awareness of being there physically with an extensible toolset for the DOM's interpretation. Besides, desktop, web and mobile versions of MOSIS have been under development and fulfill the lack of tools for digital outcrop modeling.
PROCEEDINGS-ARTICLE 1 Read 0 Citations A new approach to minimize border effect for terrestrial laser scanning Fabricio Galhardo Muller, Luiz Gonzaga, Fabiane Bordin, Maur... Published: 01 July 2017
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), doi: 10.1109/igarss.2017.8127201
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Airborne and terrestrial laser scanning techniques have been largely used for the reconstruction of high-resolution 3-D topography in the field of geosciences. In recent years, laser scanning has been also exploited on rock properties, biomass classification and carbon storage estimation. However, when laser spot collides partially against the target or even against undesirable background objects, part of emitted beam is lost and does not return to the laser station. So, it can introduce fewer discontinuities or even artifacts in the point cloud borders, comprising the results. Assuming an interest in minimizing this border effect, we have proposed a computational postprocessing algorithm which identifies anomalies and discrpancies and minimize it by recovering the expected intensity of returned laser pulse. The proposed technique operates on the basis of the collected point cloud intensity of return pulse, laser scanner's position and signals divergence, without requiring any kind of previous setup or additional accessory to the laser scanner.
Article 1 Read 0 Citations AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE Fabiane Bordin, Luiz Gonzaga Jr, Fabricio Galhardo Muller, M... Published: 16 June 2016
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, doi: 10.5194/isprs-archives-xli-b5-779-2016
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Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.
Article 1 Read 0 Citations AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE Fabiane Bordin, Luiz Gonzaga Jr, Fabricio Galhardo Muller, M... Published: 16 June 2016
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, doi: 10.5194/isprsarchives-xli-b5-779-2016
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Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.
Article 1 Read 0 Citations An algorithm for automatic detection and orientation estimation of planar structures in LiDAR-scanned outcrops Robson K. Gomes, Luiz P.L. de Oliveira, Luiz G. da Silveira ... Published: 01 May 2016
Computers & Geosciences, doi: 10.1016/j.cageo.2016.02.011
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Highlights•We propose a method for plane detection and orientation in LiDAR point clouds.•The method, simple and automatic, is statistical in its essence, using PCA.•The whole point cloud is sequentially sub-divided until planar patches are found.•It opposes other methods that search for small planer patches and expand it outwards. AbstractThe spatial orientation of linear and planar structures in geological fieldwork is still obtained using simple hand-held instruments such as a compass and clinometer. Despite their ease of use, the amount of data obtained in this way is normally smaller than would be considered as representative of the area available for sampling. LiDAR-based remote sensors are capable of sampling large areas and providing huge sets of digitized spatial points. However, the visual identification of planes in sets of points on geological outcrops is a difficult and time-consuming task. An automatic method for detecting and estimating the orientation of planar structures has been developed to reduce analysis and processing times, and to fit the best plane for each surface represented by a set of points and thus to increase the sampled area. The algorithm detects clusters of points that are part of the same plane based on the principal component analysis (PCA) technique. When applied to real cases, it has shown high precision in both the detection and orientation of fractures planes.