Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data

Arquero Hidalgo, Águeda and Martínez Izquierdo, María Estíbaliz (2011). Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data. "IEEE Latin America Transactions", v. 9 (n. 1); pp. 735-742. ISSN 1548-0992. https://doi.org/10.1109/TLA.2011.5876413.

Description

Title: Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data
Author/s:
  • Arquero Hidalgo, Águeda
  • Martínez Izquierdo, María Estíbaliz
Item Type: Article
Título de Revista/Publicación: IEEE Latin America Transactions
Date: 2011
ISSN: 1548-0992
Volume: 9
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modeling.

More information

Item ID: 11218
DC Identifier: http://oa.upm.es/11218/
OAI Identifier: oai:oa.upm.es:11218
DOI: 10.1109/TLA.2011.5876413
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5876413&tag=1
Deposited by: Memoria Investigacion
Deposited on: 09 Jul 2012 08:38
Last Modified: 20 Apr 2016 19:22
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