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Association-matrix-based sample consensus approach for automated registration of terrestrial laser scans using linear features / Kaleel Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 11 (November 2014) . - pp 1029 - 1039 Titre : Association-matrix-based sample consensus approach for automated registration of terrestrial laser scans using linear features Type de document : Article/Communication Auteurs : Kaleel Al-Durgham, Auteur ; Ayman Habib, Auteur Année de publication : 2014 Article en page(s) : pp 1029 - 1039 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] appariement automatique [Termes IGN] échantillonnage [Termes IGN] ligne caractéristique [Termes IGN] matrice [Termes IGN] Ransac (algorithme) [Termes IGN] télémétrie laser terrestre Résumé : (Auteur) This paper presents an approach for the automatic registration of terrestrial laser scans using linear features. The main contribution here is introducing a new matching strategy that uses an association matrix to store information about candidate matches of linear features. The motivation for this work is aiding the 3D modeling of industrial sites rich with pole-like features. The proposed matching strategy aims at establishing hypotheses about potential minimal watches of linear features that could be used for the estimation of the transformation parameters relating the scans; then, quantifying the agreement between the scans using the estimated transformation parameters. We combine the association matrix and the well-known RANSAC approach for the derivation of conjugate pairs among the two scans. Rather than randomly selecting the line pairs as in the RANSAC-based registration, the association matrix guides the process of selecting the candidate matches of linear features. Experiments are conducted using laser scanning data of an electrical substation to assess the performance of the proposed association-matrix-based sample consensus approach as it compares to the traditional RANSAC-based procedure. The association-matrix-based approach showed consistent tendency of bringing up the correct mutches first before the RANSAC-based registration. Numéro de notice : A2014-615 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.11.1029 En ligne : https://doi.org/10.14358/PERS.80.11.1029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74921 [article]

A robust image matching method based on optimized BaySAC / Zhizhong Kang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 11 (November 2014) . - pp 1041 - 1052 Titre : A robust image matching method based on optimized BaySAC Type de document : Article/Communication Auteurs : Zhizhong Kang, Auteur ; Fengman Jia, Auteur ; Liqiang Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 1041 - 1052 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] appariement automatique [Termes IGN] appariement d'images [Termes IGN] classification bayesienne [Termes IGN] couple stéréoscopique [Termes IGN] méthode robuste [Termes IGN] Ransac (algorithme) [Termes IGN] SIFT (algorithme) Résumé : (Auteur)This paper proposes a robust image-matching method, which integrates SIFT with the optimized Bayes SAmpling Consensus (BaySAC). As the point correspondences are likely contaminated by outliers, we present a novel robust estimation method involving an efficient RaySAC for eliminating falsely accepted correspondences. The key points of the proposed hypothesis testing algorithm are determining and updating the prior probabilities of pseudo-correspondences. First, we propose a strategy for prior probability determination in terms of the statistical characteristics of a deterministic mathematical model for hypothesis testing. Moreover, the inlier probability updating is simplified based on a memorable form of Bayes' Theorem. The proposed approach is validated on a variety of image pairs. The results indicate that when compared with the performance of RANdom SAmpling Consensus (IIANSAC) and the original BaySAC, the proposed optimized BaySAC consumes less computation and obtains higher matching accuracy when the hypothesis set is contaminated with more outliers. Numéro de notice : A2014-616 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.11.1041 En ligne : https://doi.org/10.14358/PERS.80.11.1041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74922 [article]

Automatic building extraction using a fuzzy active contour model / Mostafa Kabolizade in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 11 (November 2014) . - pp 1061 - 1068 Titre : Automatic building extraction using a fuzzy active contour model Type de document : Article/Communication Auteurs : Mostafa Kabolizade, Auteur ; Hamid Ebadi, Auteur ; Mehdi Mokhtarzade, Auteur Année de publication : 2014 Article en page(s) : pp 1061 - 1068 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] détection de contours [Termes IGN] détection du bâti [Termes IGN] extraction automatique Résumé : (Auteur) Automatic building extraction is currently an important research topic in the field of photagrammetry. An active contour model is a well-received approach in this field. This paper proposes an improved active contour model that focuses on building extraction from aerial images and lidar data. The main research concern in this paper is the development of energy functions to the optimum use of expert human knowledge in the overall process. Based on this approach, a new fuzzy inference system for evaluating energy functions was developed by modeling the human perception of various effective parameters in the energy functions. (Compared to the existing active contour models, the new algorithm is capable of directing the initial contour to building feature boundaries more quickly and robustly. Accuracy assessment showed that the proposed model is capable of achieving a shape accuracy of 98 percent and a total accuracy of 97 percent in complex urban areas. Numéro de notice : A2014-617 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.11.1061 En ligne : https://doi.org/10.14358/PERS.80.11.1061 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74923 [article]

CityGML implementation specifications for a countrywide 3D dataset: The case of the Netherlands / Jantien E. Stoter in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 11 (November 2014) . - pp 1069 - 1077 Titre : CityGML implementation specifications for a countrywide 3D dataset: The case of the Netherlands Type de document : Article/Communication Auteurs : Jantien E. Stoter, Auteur ; M. George Vosselman, Auteur ; Christian Dahmen, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 1069 - 1077 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] CityGML [Termes IGN] données localisées 3D [Termes IGN] implémentation (informatique) [Termes IGN] infrastructure nationale des données localisées [Termes IGN] Pays-Bas [Termes IGN] spécification Index. décimale : 37.00 Géomatique - information géographique - infrastructure de données Résumé : (Auteur)This paper discusses and presents the specifications of a countrywide 3D data set for The Netherlands and the best practices to generate 3D data accordingly. The specifications extend the OGC 3D standard CityGML to align it to national requirements. Although CityGML offers a solid base for 3D information modeling, we have met the problems of CityGML being a generic standard resulting in too much flexibility and in some cases ambiguity when implementing it at a national level. Based on experiences and use cases, we refined and extended the CityGML specifications into implementation specifications for our Dutch context. We present a workflow to generate 3D information compliant with specifications, starting from existing 2D/3D raw data. Also, a 3D validation tool has been developed to be able to evaluate 3D information against the defined specifications. Currently these specifications have been offered to OGC as best practices. Numéro de notice : A2014-618 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.80.11.1069 En ligne : https://doi.org/10.14358/PERS.80.11.1069 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74924 [article]