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A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study

 

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Opened Access A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
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Author: García Gutiérrez, Jorge
Martínez Álvarez, Francisco
Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2014
Published in: International Joint Conference SOCO’13-CISIS’13-ICEUTE’13, Advances in Intelligent Systems and Computing, v.239
ISBN/ISSN: 978-3-319-01853-9
2194-5357
Document type: Chapter of Book
Abstract: Light Detection and Ranging (LiDAR) is a remote sensor able to extract vertical information from sensed objects. LiDAR-derived information is nowadays used to develop environmental models for describing fire behaviour or quantifying biomass stock...
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Size: 1.086Mb
Format: PDF

URI: http://hdl.handle.net/11441/42691

DOI: http://dx.doi.org/10.1007/978-3-319-01854-6_26

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