Sea Bottom Classification by Means of Bathymetric LIDAR Data

Velasco Gomez, Jesus and Molina Sánchez, Iñigo and Martínez Izquierdo, M.Estibaliz and Arquero Hidalgo, Águeda and Prieto Morin, Juan Francisco (2014). Sea Bottom Classification by Means of Bathymetric LIDAR Data. "IEEE Latin America Transactions", v. 12 (n. 4); pp. 590-595. ISSN 1548-0992.

Description

Title: Sea Bottom Classification by Means of Bathymetric LIDAR Data
Author/s:
  • Velasco Gomez, Jesus
  • Molina Sánchez, Iñigo
  • Martínez Izquierdo, M.Estibaliz
  • Arquero Hidalgo, Águeda
  • Prieto Morin, Juan Francisco
Item Type: Article
Título de Revista/Publicación: IEEE Latin America Transactions
Date: June 2014
ISSN: 1548-0992
Volume: 12
Subjects:
Freetext Keywords: Image processing, bathymetric LIDAR, Radiative Transfer Model, sea bottom classification.
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Cartográfica y Topografía
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Light Detection and Ranging (LIDAR) provides high horizontal and vertical resolution of spatial data located in point cloud images, and is increasingly being used in a number of applications and disciplines, which have concentrated on the exploit and manipulation of the data using mainly its three dimensional nature. Bathymetric LIDAR systems and data are mainly focused to map depths in shallow and clear waters with a high degree of accuracy. Additionally, the backscattering produced by the different materials distributed over the bottom surface causes that the returned intensity signal contains important information about the reflection properties of these materials. Processing conveniently these values using a Simplified Radiative Transfer Model, allows the identification of different sea bottom types. This paper presents an original method for the classification of sea bottom by means of information processing extracted from the images generated through LIDAR data. The results are validated using a vector database containing benthic information derived by marine surveys.

More information

Item ID: 33100
DC Identifier: https://oa.upm.es/33100/
OAI Identifier: oai:oa.upm.es:33100
Official URL: http://www.ewh.ieee.org/reg/9/etrans/ieee/issues/vol12/vol12issue4June2014/12TLA4_09Velasco.pdf
Deposited by: Memoria Investigacion
Deposited on: 09 Apr 2015 11:43
Last Modified: 08 Jun 2015 14:59
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