Artículo
Improving models for environmental applications of LiDAR: Novel approaches based on soft computing
Autor/es | García Gutiérrez, Jorge |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2016 |
Fecha de depósito | 2022-12-12 |
Publicado en |
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Resumen | This work proposes novel methodologies to improve the use of Light Detection And Ranging (LiDAR) for environ mental purposes, especially for thematic mapping (LiDAR only or fused with other remote sensors) and the estimation ... This work proposes novel methodologies to improve the use of Light Detection And Ranging (LiDAR) for environ mental purposes, especially for thematic mapping (LiDAR only or fused with other remote sensors) and the estimation of for est variables. The methodologies make use of well-known techniques from soft computing (machine learning and evolutionary computation) and their adaptation to develop LiDAR-derived products. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | TIN2007-68084-C-02-01
TIN2011-28956-C02-02 TIC-7528 |
Cita | García Gutiérrez, J. (2016). Improving models for environmental applications of LiDAR: Novel approaches based on soft computing. AI Communications, 29 (1), 213-214. https://doi.org/10.3233/AIC-140643. |
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