Please login first
MAURICIO ROBERTO VERONEZ   Dr.  Institute, Department or Faculty Head 
Timeline See timeline
MAURICIO ROBERTO VERONEZ published an article in July 2017.
Top co-authors See all
David Balding

87 shared publications

Carla Gallo

45 shared publications

Giovanni Poletti

37 shared publications

Marta Rubio-Codina

27 shared publications

33
Publications
2
Reads
0
Downloads
68
Citations
Publication Record
Distribution of Articles published per year 
(1998 - 2017)
Total number of journals
published in
 
21
 
Publications See all
PROCEEDINGS-ARTICLE 0 Reads 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
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 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
DOI See at publisher website
Article 0 Reads 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
DOI See at publisher website
ABS Show/hide abstract
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 0 Reads 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
DOI See at publisher website
ABS Show/hide abstract
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 0 Reads 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
DOI See at publisher website
ABS Show/hide abstract
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.
BOOK-CHAPTER 0 Reads 0 Citations Modeling and Tool Use Viviane Todt, Silvio Cesar Cazella, Thiago Nunes Kehl, Maurí... Published: 01 January 2015
Smartphone-Based Indoor Map Construction, doi: 10.1007/978-3-319-15741-2_4
DOI See at publisher website
ABS Show/hide abstract
This section aims to illustrate the modeling of the developed system, and also demonstrates the use and operation of the tool with the aid of the Use Case diagram (Fig. 4.1) that characterizes the implemented features.