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Descripción
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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 imagery is an important source of information for land cover mapping. For the processing of high spatial 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 methodology 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. | |
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Internacional
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Si |
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JCR del ISI
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No |
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Título de la revista
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EARSeL eProceedings |
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ISSN
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1729-3782 |
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Factor de impacto JCR
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0 |
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Información de impacto
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Volumen
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9 |
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DOI
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Número de revista
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2 |
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Desde la página
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42 |
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Hasta la página
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51 |
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Mes
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DICIEMBRE |
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Ranking
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