An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data

Fabiane BordinGraduate Program in Remote Sensing, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, 91501-970, Porto Alegre, Brazil;Advanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil;itt Performance—Technological Institute of Performance and Civil Construction, University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, BrazilCorrespondence[email protected]

Fabrício Galhardo MüllerAdvanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil

Elba Calesso TeixeiraGraduate Program in Remote Sensing, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, 91501-970, Porto Alegre, Brazil;State Foundation of Environmental Protection Luiz Henrique Roessler, Av. Borges de Medeiros, 261, 90020-021, Porto Alegre, Brazil

Sílvia Beatriz Alves RolimGraduate Program in Remote Sensing, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, 91501-970, Porto Alegre, Brazil

Francisco Manoel Wohnrath TognoliGraduate Program in Geology, University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil;Advanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil

Luiz Gonzaga da Silveira JúniorAdvanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil;Graduate Program in Applied Computing, University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil

Maurício Roberto VeronezGraduate Program in Geology, University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil;Advanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos, Av. Unisinos, 950, 93022-000, São Leopoldo, Brazil

Marco ScaioniDepartment of Architecture, Built environment and Construction engeneering (ABC), Politecnico di Milano, Via Ponzio, 31, 20133, Milano, Italy

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Abstract

The terrestrial laser scanner is an equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. However, before intensity data can be analyzed, it must be processed in order to minimize the edge or border effect, one of the most serious problems of LIDAR's intensity data. Our research has focused on characterizing the edge effect behavior as well as to develop an algorithm to minimize edge effect distortion automatically (IRA). The IRA showed to be effective recovering 35.71% of points distorted by the edge effect, providing significant improvements and promising results for the development of applications based on TLS data intensity to many studies.

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An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data

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An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data

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