Peut-on cartographier des taches urbaines à partir d’images Google Earth ?

The presented study shows the results of the processing of Google Earth images leading to the delineation of West Africa urban areas with more than 500 000 inhabitants. Since Google Earth images are RGB images with no spectral information, the developed methodology is based on the processing of grey...

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Autores principales:	Johanna Baro, Catherine Mering, Corinne Vachier
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2014
Materias:	Google Earth mathematical morphology urban delineation remote sensing built environment Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/a1dbbda2be7644e4bf1da8e8205bde36
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id	oai:doaj.org-article:a1dbbda2be7644e4bf1da8e8205bde36
record_format	dspace
spelling	oai:doaj.org-article:a1dbbda2be7644e4bf1da8e8205bde362021-12-02T11:12:42ZPeut-on cartographier des taches urbaines à partir d’images Google Earth ?1278-336610.4000/cybergeo.26401https://doaj.org/article/a1dbbda2be7644e4bf1da8e8205bde362014-07-01T00:00:00Zhttp://journals.openedition.org/cybergeo/26401https://doaj.org/toc/1278-3366The presented study shows the results of the processing of Google Earth images leading to the delineation of West Africa urban areas with more than 500 000 inhabitants. Since Google Earth images are RGB images with no spectral information, the developed methodology is based on the processing of grey level images in order to retrieve urban areas according to their texture with the help of morphological filters. Images covering some of the studied agglomerations are mosaic images resulting of the composition of satellite images acquired in different conditions. Thus a pre-processing step of image equalization is added in order to reduce the luminance differences and facilitate the extraction. We present here an equalization method based on the « Midway » algorithm, originally developed to standardize the luminance of pairs of stereo images. The challenge here is to adapt the algorithm to be able to treat images with partially different contents. Once the mosaics are equalized, it is possible to use sequences of morphological filters in order to delineate urban areas. The results are compared and validated with the Africapolis vectorial database of urban areas identified by mean of photo interpretation, as well on Google Earth images.Johanna BaroCatherine MeringCorinne VachierUnité Mixte de Recherche 8504 Géographie-citésarticleGoogle Earthmathematical morphologyurban delineationremote sensingbuilt environmentGeography (General)G1-922DEENFRITPTCybergeo (2014)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	Google Earth mathematical morphology urban delineation remote sensing built environment Geography (General) G1-922
spellingShingle	Google Earth mathematical morphology urban delineation remote sensing built environment Geography (General) G1-922 Johanna Baro Catherine Mering Corinne Vachier Peut-on cartographier des taches urbaines à partir d’images Google Earth ?
description	The presented study shows the results of the processing of Google Earth images leading to the delineation of West Africa urban areas with more than 500 000 inhabitants. Since Google Earth images are RGB images with no spectral information, the developed methodology is based on the processing of grey level images in order to retrieve urban areas according to their texture with the help of morphological filters. Images covering some of the studied agglomerations are mosaic images resulting of the composition of satellite images acquired in different conditions. Thus a pre-processing step of image equalization is added in order to reduce the luminance differences and facilitate the extraction. We present here an equalization method based on the « Midway » algorithm, originally developed to standardize the luminance of pairs of stereo images. The challenge here is to adapt the algorithm to be able to treat images with partially different contents. Once the mosaics are equalized, it is possible to use sequences of morphological filters in order to delineate urban areas. The results are compared and validated with the Africapolis vectorial database of urban areas identified by mean of photo interpretation, as well on Google Earth images.
format	article
author	Johanna Baro Catherine Mering Corinne Vachier
author_facet	Johanna Baro Catherine Mering Corinne Vachier
author_sort	Johanna Baro
title	Peut-on cartographier des taches urbaines à partir d’images Google Earth ?
title_short	Peut-on cartographier des taches urbaines à partir d’images Google Earth ?
title_full	Peut-on cartographier des taches urbaines à partir d’images Google Earth ?
title_fullStr	Peut-on cartographier des taches urbaines à partir d’images Google Earth ?
title_full_unstemmed	Peut-on cartographier des taches urbaines à partir d’images Google Earth ?
title_sort	peut-on cartographier des taches urbaines à partir d’images google earth ?
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2014
url	https://doaj.org/article/a1dbbda2be7644e4bf1da8e8205bde36
work_keys_str_mv	AT johannabaro peutoncartographierdestachesurbainesapartirdimagesgoogleearth AT catherinemering peutoncartographierdestachesurbainesapartirdimagesgoogleearth AT corinnevachier peutoncartographierdestachesurbainesapartirdimagesgoogleearth
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Peut-on cartographier des taches urbaines à partir d’images Google Earth ?

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