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Improved nonsubsampled contourlet transform for multi-sensor image registration / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 1 (January 2013) . - pp 51 - 66 Titre : Improved nonsubsampled contourlet transform for multi-sensor image registration Type de document : Article/Communication Auteurs : R. Wang, Auteur ; J. Ma, Auteur ; H. Huang, Auteur ; Wei Shi, Auteur Année de publication : 2013 Article en page(s) : pp 51 - 66 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement de lignes [Termes IGN] appariement de points [Termes IGN] détection de contours [Termes IGN] image SPOT 5 [Termes IGN] image Terra-ASTER [Termes IGN] similitude [Termes IGN] superposition d'images [Termes IGN] transformation Résumé : (Auteur) Homologous feature point extraction is a key problem in the multi-sensor image registration. In this paper, a new feature point extraction method using nonsubsampled contourlet transform (NSCT) and an adaptive shrink operator (ASO_NSCT) for multi-sensor image registration is proposed. Moreover, this proposed feature matching is different from the traditional feature matching strategies and is performed using a similarity measure computed from neighborhood circles in low-frequency bands. Then, a number of reliable matched couples with even distributions are obtained, which assures the accuracy of the registration. Applications of the proposed algorithm to different optical images as well as optical and synthetic aperture radar images show that, in each case, a large number of accurate matched couples could be identified. Additionally, the RMSE patterns are analyzed and comparisons of the parameters are carried out between the registration models and the actual ground structures, which further demonstrates the effectiveness of the proposed algorithm. Numéro de notice : A2013-005 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.1.51 En ligne : https://doi.org/10.14358/PERS.79.1.51 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32143 [article]

A method for detecting windows from mobile lidar data / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1129 - 1140 Titre : A method for detecting windows from mobile lidar data Type de document : Article/Communication Auteurs : R. Wang, Auteur ; F. Ferrie, Auteur ; J. Macfarlane, Auteur Année de publication : 2012 Article en page(s) : pp 1129 - 1140 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection d'objet [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] façade [Termes IGN] fenêtre (bâtiment) [Termes IGN] semis de points Résumé : (Auteur) Mobile lidar (light detection and ranging) data collection is a rapidly emerging technology in which multiple georeferenced sensors (e.g., laser scanners, cameras) are mounted on a moving vehicle to collect real world data. The photorealistic modeling of large-scale real world scenes such as urban environments has become increasingly interesting to the vision, graphics, and photogrammetry communities. In this paper, we present an automatic approach to window and facade detection from mobile lidar data. The proposed method combines bottom-up with top-down strategies to extract facade planes from noisy lidar point clouds. The window detection is achieved through a two-step approach: potential window point detection and window localization. The facade pattern is automatically inferred to enhance the robustness of the window detection. Experimental results on six datasets result in 71.2 percent and 88.9 percent in the first two datasets, 100 percent for the rest four datasets in terms of completeness rate, and 100 percent correctness rate for all the tested datasets, which demonstrate the effectiveness of the proposed solution for planar facades with rectilinear windows. The application potential includes generation of building facade models with street-level details and texture synthesis for producing realistic occlusion-free facade texture. Numéro de notice : A2012-586 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1129 En ligne : https://doi.org/10.14358/PERS.78.11.1129 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32032 [article]