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

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 m...

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Bibliographic Details
Published inEuropean journal of remote sensing Vol. 49; no. 1; pp. 301 - 315
Main Authors Bordin, Fabiane, Müller, Fabrício Galhardo, Teixeira, Elba Calesso, Rolim, Sílvia Beatriz Alves, Tognoli, Francisco Manoel Wohnrath, da Silveira Júnior, Luiz Gonzaga, Veronez, Maurício Roberto, Scaioni, Marco
Format Journal Article
LanguageEnglish
Published Cagiari Taylor & Francis 01.01.2016
Taylor & Francis Ltd
Subjects
Algorithms
classification edge effect
Edge effect
Intensity recovery algorithm
LIDAR
remote sensing
Surveying
Terrestrial environments
terrestrial laser scanning
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Summary: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.
ISSN:2279-7254
2279-7254
DOI:10.5721/EuJRS20164917