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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]

Documents numériques

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Application of time series Landsat images to examining land-use / land-cover dynamic change / Dong Lu 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 747 - 755 Titre : Application of time series Landsat images to examining land-use / land-cover dynamic change Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; S. Hetrick, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 747 - 755 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse diachronique [Termes IGN] changement d'occupation du sol [Termes IGN] détection de changement [Termes IGN] élevage [Termes IGN] image Landsat [Termes IGN] Mato Grosso [Termes IGN] savane [Termes IGN] série temporelle [Termes IGN] surface cultivée [Termes IGN] surface imperméable Résumé : (Auteur) A hierarchical-based classification method was designed to develop time series land-use/land-cover datasets from Landsat images between 1977 and 2008 in Lucas do Rio Verde, Mato Grosso, Brazil. A post-classification comparison approach was used to examine land-use/land-cover change trajectories, which emphasis is on the conversions from vegetation or agropasture to impervious surface area, from vegetation to agropasture, and from agropasture to regenerat-ing vegetation. Results of this research indicated that increase in impervious surface area mainly resulted from the loss of cerrado in the initial decade of the study period and from loss of agricultural lands in the last two decades. Increase in agropasture was mainly at the expense of losing cerrado in the first two decades and relatively evenly from the loss of primary forest and cerrado in the last decade. When impervious surface area was less than approximately 40 km2 before 1999, impervious surface area was negatively related to cerrado and forest, and positively related to agropasture areas, but after impervious surface area reached 40 km2 in 1999, no obvious relationship exists between them. Numéro de notice : A2012-324 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358%2Fpers.78.7.747 En ligne : https://doi.org/10.14358%2Fpers.78.7.747 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31770 [article]

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]

Application of time series Landsat images to examining land-use/land-cover dynamic change / Dong Lu 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 747 - 755 Titre : Application of time series Landsat images to examining land-use/land-cover dynamic change Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; S. Hetrick, Auteur ; E. Moran, Auteur ; G. Li, Auteur Année de publication : 2012 Article en page(s) : pp 747 - 755 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse diachronique [Termes IGN] classification ascendante hiérarchique [Termes IGN] détection de changement [Termes IGN] image Landsat [Termes IGN] Mato Grosso [Termes IGN] occupation du sol [Termes IGN] série temporelle [Termes IGN] surface imperméable [Termes IGN] utilisation du sol Résumé : (Auteur) A hierarchical-based classification method was designed to develop time series land-use/land-cover datasets from Landsat images between 1977 and 2008 in Lucas do Rio Verde, Mato Grosso, Brazil. A post-classification comparison approach was used to examine land-use/land-cover change trajectories, which emphasis is on the conversions from vegetation or agropasture to impervious surface area, from vegetation to agropasture, and from agropasture to regenerating vegetation. Results of this research indicated that increase in impervious surface area mainly resulted from the loss of cerrado in the initial decade of the study period and from loss of agricultural lands in the last two decades. Increase in agropasture was mainly at the expense of losing cerrado in the first two decades and relatively evenly from the loss of primary forest and cerrado in the last decade. When impervious surface area was less than approximately 40 km2 before 1999, impervious surface area was negatively related to cerrado and forest, and positively related to agropasture areas, but after impervious surface area reached 40 km2 in 1999, no obvious relationship exists between them. Numéro de notice : A2012-360 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358%2Fpers.78.7.747 En ligne : https://doi.org/10.14358%2Fpers.78.7.747 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31806 [article]