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Building detection in complex scenes thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)    

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 7 (July 2012) . - pp 729 - 745 Titre : Building detection in complex scenes thorough effective separation of buildings from trees Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; C. Zhang, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2012 Article en page(s) : pp 729 - 745 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] détection automatique [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] extraction de la végétation [Termes IGN] image aérienne Résumé : (Auteur) Effective separation of buildings from trees is a major challenge in image-based automatic building detection. This paper presents a three-step method for effective separation of buildings from trees using aerial imagery and lidar data. First, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height threshold is also used to generate a ground mask where buildings are found to be more separable than in so-called normalized DSM. Second, image entropy and color information are jointly applied to remove easily distinguishable trees. Finally, an innovative rule-based procedure is employed using the edge orientation histogram from the imagery to eliminate false positive candidates. The improved building detection algorithm has been tested on different test areas and it is shown that the algorithm offers high building detection rate in complex scenes which are hilly and densely vegetated. Numéro de notice : A2012-323 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.7.729 En ligne : https://doi.org/10.14358/PERS.78.7.729 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31769 [article]

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Building detection in complex thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 7 (July 2012) . - pp 729 - 745 Titre : Building detection in complex thorough effective separation of buildings from trees Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; C. Zhang, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2012 Article en page(s) : pp 729 - 745 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] arbre (flore) [Termes IGN] détection de contours [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] histogramme [Termes IGN] image aérienne [Termes IGN] modèle numérique de surface [Termes IGN] seuillage d'image Résumé : (Auteur) Effective separation of buildings from trees is a major challenge in image-based automatic building detection. This paper presents a three-step method for effective separation of buildings from trees using aerial imagery and lidar data. First, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height threshold is also used to generate a ground mask where buildings are found to be more separable than in so-called normalized DSM. Second, image entropy and color information are jointly applied to remove easily distinguishable trees. Finally, an innovative rule-based procedure is employed using the edge orientation histogram from the imagery to eliminate false positive candidates. The improved building detection algorithm has been tested on different test areas and it is shown that the algorithm offers high building detection rate in complex scenes which are hilly and densely vegetated. Numéro de notice : A2012-359 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.7.729 En ligne : http://dx.doi.org/10.14358/PERS.78.7.729 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31805 [article]

Automatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 5 (September - October 2010) . - pp 457 - 467 Titre : Automatic detection of residential building using LIDAR data and multispectral imagery Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; M. Ravanbakhsh, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2010 Article en page(s) : pp 457 - 467 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] correction d'image [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] image multibande [Termes IGN] masque [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] seuillage d'image Résumé : (Auteur) This paper presents an automatic building detection technique using LIDAR data and multispectral imagery. Two masks are obtained from the LIDAR data: a ‘primary building mask’ and a ‘secondary building mask’. The primary building mask indicates the void areas where the laser does not reach below a certain height threshold. The secondary building mask indicates the filled areas, from where the laser reflects, above the same threshold. Line segments are extracted from around the void areas in the primary building mask. Line segments around trees are removed using the normalized difference vegetation index derived from the orthorectified multispectral images. The initial building positions are obtained based on the remaining line segments. The complete buildings are detected from their initial positions using the two masks and multispectral images in the YIQ colour system. It is experimentally shown that the proposed technique can successfully detect urban residential buildings, when assessed in terms of 15 indices including completeness, correctness and quality. Numéro de notice : A2010-448 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30641 [article]

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