Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina

Image and video processing of natural phenomena is one of the preferred non-invasive monitoring techniques for environmental studies that is, however, limited through the high cost of the required equipment and the limited access and precision of the processing algorithms. In this work we propose a...

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Autores principales: Revollo Sarmiento, Natalia, Delrieux, Claudio, Perillo, Gerardo M. E., Cipolletti, Marina P.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2009
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/20973
Aporte de:
id I19-R120-10915-20973
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Procesamiento de Imagen Asistida por Computador
Algorithms
Monitoreo del Ambiente
image and video processing
environmental monitoring
reprojection, segmentation, and feature extraction algorithms
spellingShingle Ciencias Informáticas
Procesamiento de Imagen Asistida por Computador
Algorithms
Monitoreo del Ambiente
image and video processing
environmental monitoring
reprojection, segmentation, and feature extraction algorithms
Revollo Sarmiento, Natalia
Delrieux, Claudio
Perillo, Gerardo M. E.
Cipolletti, Marina P.
Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina
topic_facet Ciencias Informáticas
Procesamiento de Imagen Asistida por Computador
Algorithms
Monitoreo del Ambiente
image and video processing
environmental monitoring
reprojection, segmentation, and feature extraction algorithms
description Image and video processing of natural phenomena is one of the preferred non-invasive monitoring techniques for environmental studies that is, however, limited through the high cost of the required equipment and the limited access and precision of the processing algorithms. In this work we propose a low cost methodology for environmental studies using unexpensive off-the-shelf hardware and simple yet powerful processing algorithms. The images are taken using small format RGB cameras and processed in standard laptop equipments using open source libraries and processing algorithms specifically developed in general purpose programming languages. We applied this methodology to the coastal monitoring the shoreline of Monte Hermoso, Argentina, aimed at establishing accurate measurements of specific coastal features, for instance the coastal length. The experimental results show that our proposed unsupervised processing algorithm obtains results with a very high level of accuracy.
format Objeto de conferencia
Objeto de conferencia
author Revollo Sarmiento, Natalia
Delrieux, Claudio
Perillo, Gerardo M. E.
Cipolletti, Marina P.
author_facet Revollo Sarmiento, Natalia
Delrieux, Claudio
Perillo, Gerardo M. E.
Cipolletti, Marina P.
author_sort Revollo Sarmiento, Natalia
title Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina
title_short Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina
title_full Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina
title_fullStr Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina
title_full_unstemmed Coastal monitoring and feature estimation with small format cameras: application to the shoreline of Monte Hermoso, Argentina
title_sort coastal monitoring and feature estimation with small format cameras: application to the shoreline of monte hermoso, argentina
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/20973
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