Land Cover Mapping by an Optimized Object-Oriented Approach. Case of Study Mediterranean Landscapes

Sánchez Hernández, Javier and Martínez Izquierdo, María Estíbaliz and Arquero Hidalgo, Águeda and Renza Torres, Diego (2010). Land Cover Mapping by an Optimized Object-Oriented Approach. Case of Study Mediterranean Landscapes. In: "30th EARSeL Symposium Remote Sensing for Science, Education, and Natural and Cultural Heritage", 31 May-03 Jun 2010, Paris, Francia. ISBN 978-3-00-033435-1. pp. 765-774.

Description

Title: Land Cover Mapping by an Optimized Object-Oriented Approach. Case of Study Mediterranean Landscapes
Author/s:
  • Sánchez Hernández, Javier
  • Martínez Izquierdo, María Estíbaliz
  • Arquero Hidalgo, Águeda
  • Renza Torres, Diego
Item Type: Presentation at Congress or Conference (Other)
Event Title: 30th EARSeL Symposium Remote Sensing for Science, Education, and Natural and Cultural Heritage
Event Dates: 31 May-03 Jun 2010
Event Location: Paris, Francia
Title of Book: Proceedings of EARSeL Symposium 2010
Date: May 2010
ISBN: 978-3-00-033435-1
Subjects:
Freetext Keywords: Object-based method; Segmentation; Bilateral filtering; Self-calibrating; Método basado en objetos; Segmentación; Filtrado bilateral; Auto-calibración
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

Remote sensing information from spaceborne and airborne platforms continues to provide valuable data for different environmental monitoring applications. In this sense, high spatial resolution im-agery is an important source of information for land cover mapping. For the processing of high spa-tial resolution images, the object-based methodology is one of the most commonly used strategies. However, conventional pixel-based methods, which only use spectral information for land cover classification, are inadequate for classifying this type of images. This research presents a method-ology to characterise Mediterranean land covers in high resolution aerial images by means of an object-oriented approach. It uses a self-calibrating multi-band region growing approach optimised by pre-processing the image with a bilateral filtering. The obtained results show promise in terms of both segmentation quality and computational efficiency.

More information

Item ID: 35127
DC Identifier: http://oa.upm.es/35127/
OAI Identifier: oai:oa.upm.es:35127
Official URL: http://www.earsel.org/?target=publications/proceedings/symposium-2010
Deposited by: Memoria Investigacion
Deposited on: 20 May 2015 10:52
Last Modified: 20 May 2015 10:52
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