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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.
Title: | Land Cover Mapping by an Optimized Object-Oriented Approach. Case of Study Mediterranean Landscapes |
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Author/s: |
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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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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.
Item ID: | 35127 |
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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 |