Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner

Bordin, Fabiane; Teixeira, Elba Calesso; Rolim, Silvia Beatriz Alves; Tognoli, Francisco Manoel Wohnrath; Veronez, Maurício Roberto; Silveira, Luiz Gonzaga da; Souza, Camila Fernandes Natus de

doi:10.1016/j.ieri.2013.11.098

Cited by 3 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Laser scanning technique from airborne and ground platforms has been largely used for the reconstruction of high-resolution 3-D topography in the field of geosciences and other applications (Shan and Toth, 2008) (Laefer et al, 2014) (Bordin et al, 2013) (Ehlert and Heisig, 2013) (Sahin et al, 2012) (Buckley et al, 2008). The capture of spatial data through a laser scanner has become popular due the difficulties to access some targets or part of them, and mainly by the capability for reconstructing high accurate 3D models.…”

Section: Introductionmentioning

confidence: 99%

An Automatic Algorithm for Minimizing Anomalies and Discrepancies in Point Clouds Acquired by Laser Scanning Technique

Bordin

Gonzaga

Muller

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

View full text Add to dashboard Cite

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.

show abstract