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Geometrical consistency voting strategy for outlier detection in image matching / Luping Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)
[article]
Titre : Geometrical consistency voting strategy for outlier detection in image matching Type de document : Article/Communication Auteurs : Luping Lu, Auteur ; Yong Zhang, Auteur ; Pengjie Tao, Auteur Année de publication : 2016 Article en page(s) : pp 559 - 570 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement automatique
[Termes IGN] appariement d'images
[Termes IGN] cohérence géométrique
[Termes IGN] détection d'anomalie
[Termes IGN] point d'appui
[Termes IGN] transformation de Hough
[Termes IGN] valeur aberranteRésumé : (Auteur) False matches in tie-point image matching are common. This paper introduces a straightforward and effective prepossessing method to reject false matches from initial matches. The method is based on the idea of Hough transform using only two geometrical consistency parameters, namely, the scale parameter and the rotation parameter between two images. A weighted voting strategy is employed, and it can further improve the robustness of the algorithm. The method can handle a large rate of outliers and produce more robust matches with low complexity. No assumptions with regard to the relative pose between two images are necessary, and large perspective deformation can be handled as well. Experiments with ground reference data show that the algorithm works effectively even when the ratio of inliers is below 10 percent. In these data, the ratio of inliers can be improved from 5 percent to 40 percent on average. Numéro de notice : A2016-517 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.7.559 En ligne : http://dx.doi.org/10.14358/PERS.82.7.559 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81588
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 7 (juillet 2016) . - pp 559 - 570[article]A multi-scale plane-detection method based on the Hough transform and region growing / Xiaoxu Leng in Photogrammetric record, vol 31 n° 154 (June - August 2016)
[article]
Titre : A multi-scale plane-detection method based on the Hough transform and region growing Type de document : Article/Communication Auteurs : Xiaoxu Leng, Auteur ; Jun Xiao, Auteur ; Ying Wang, Auteur Année de publication : 2016 Article en page(s) : pp 166 - 192 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] détection automatique
[Termes IGN] modélisation 3D
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] traitement d'image
[Termes IGN] transformation de HoughRésumé : (auteur) The detection of planes from 3D point clouds plays an important role in fields such as 3D modelling, rock mechanics, registration and robotics. A multi-scale plane-detection method is proposed, based on extracting growth units using the Hough transform and subsequent region growing into actual plane boundaries. Because the approximate geometric features of the original plane area can be obtained from the growth units, discriminant conditions for adaptive plane growing could be provided for the growing stage. In order to detect physical planes at different scales, a strategy of multi-scale normal estimation is introduced. Simulated icosahedron point clouds, together with actual engineering point clouds, were used to test the performance of the proposed method. Experimental results show that planar point clouds could be detected effectively, especially with rock-mass engineering applications. Numéro de notice : A2016-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12145 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12145 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81473
in Photogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 166 - 192[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016021 RAB Revue Centre de documentation En réserve L003 Disponible Rotation-and-scale-invariant airplane detection in high-resolution satellite images based on deep-Hough-forests / Yongtao Yu in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)
[article]
Titre : Rotation-and-scale-invariant airplane detection in high-resolution satellite images based on deep-Hough-forests Type de document : Article/Communication Auteurs : Yongtao Yu, Auteur ; Haiyan Guan, Auteur ; Dawei Zai, Auteur ; Zheng Ji, Auteur Année de publication : 2016 Article en page(s) : pp 50 – 64 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aéronef
[Termes IGN] détection d'objet
[Termes IGN] invariant
[Termes IGN] Rotation Forest classification
[Termes IGN] transformation de HoughRésumé : (auteur) This paper proposes a rotation-and-scale-invariant method for detecting airplanes from high-resolution satellite images. To improve feature representation capability, a multi-layer feature generation model is created to produce high-order feature representations for local image patches through deep learning techniques. To effectively estimate airplane centroids, a Hough forest model is trained to learn mappings from high-order patch features to the probabilities of an airplane being present at specific locations. To handle airplanes with varying orientations, patch orientation is defined and integrated into the Hough forest to augment Hough voting. The scale invariance is achieved by using a set of scale factors embedded in the Hough forest. Quantitative evaluations on the images collected from Google Earth service show that the proposed method achieves a completeness, correctness, quality, and F1-measure of 0.968, 0.972, 0.942, and 0.970, respectively, in detecting airplanes with arbitrary orientations and sizes. Comparative studies also demonstrate that the proposed method outperforms the other three existing methods in accurately and completely detecting airplanes in high-resolution remotely sensed images. Numéro de notice : A2016-139 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.04.014 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.04.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80313
in ISPRS Journal of photogrammetry and remote sensing > vol 112 (February 2016) . - pp 50 – 64[article]Automatic 3D modelling of metal frame connections from LiDAR data for structural engineering purposes / M. Cabaleiro in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)
[article]
Titre : Automatic 3D modelling of metal frame connections from LiDAR data for structural engineering purposes Type de document : Article/Communication Auteurs : M. Cabaleiro, Auteur ; B. Riveiro, Auteur ; Pedro Arias, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 47 - 57 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] modélisation 3D
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] surveillance d'ouvrage
[Termes IGN] transformation de HoughRésumé : (Auteur) The automatic generation of 3D as-built models from LiDAR data is a topic where significant progress has been made in recent years. This paper describes a new method for the detection and automatic 3D modelling of frame connections and the formation of profiles comprising a metal frame from LiDAR data. The method has been developed using an approach to create 2.5D density images for subsequent processing using the Hough transform. The structure connections can be automatically identified after selecting areas in the point cloud. As a result, the coordinates of the connection centre, composition (profiles, size and shape of the haunch) and direction of their profiles are extracted. A standard file is generated with the data obtained from the geometric and semantic characterisation of the connections. The 3D model of connections and metal frames, which are suitable for processing software for structural engineering applications, are generated automatically based on this file. The algorithm presented in this paper has been tested under laboratory conditions and also with several industrial portal frames, achieving promising results. Finally, 3D models were generated, and structural calculations were performed. Numéro de notice : A2014-383 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.07.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.07.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73810
in ISPRS Journal of photogrammetry and remote sensing > vol 96 (October 2014) . - pp 47 - 57[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014101 RAB Revue Centre de documentation En réserve L003 Disponible Reconstruct street network from imprecise excavation data using fuzzy Hough transforms / Cyril de Runz in Geoinformatica, vol 18 n° 2 (April 2014)
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Titre : Reconstruct street network from imprecise excavation data using fuzzy Hough transforms Type de document : Article/Communication Auteurs : Cyril de Runz, Auteur ; Eric Desjardin, Auteur ; Frédéric Piantoni, Auteur ; Michel Herbin, Auteur Année de publication : 2014 Article en page(s) : pp 253 - 268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] archéologie
[Termes IGN] base de données localisées
[Termes IGN] datation
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] forme caractéristique
[Termes IGN] fouille archéologique
[Termes IGN] France (administrative)
[Termes IGN] géopositionnement
[Termes IGN] période gallo romaine
[Termes IGN] Reims
[Termes IGN] sous ensemble flou
[Termes IGN] système d'information géographique
[Termes IGN] transformation de Hough
[Termes IGN] voie romaineRésumé : (Auteur) This paper proposes an approach for handling multivariate data in an archaeological Geographical Information System (GIS), providing a new tool to archaeologists and historians. Our method extracts potential objects of known shapes in a geographical database (GDB) devoted to archaeological excavations. In this work, archaeological information is organized according to three components: location, date and a shape parameter, in a context where data are imprecise and lacunar. To manage these aspects, a three-step methodology was developed using fuzzy sets modeling and adapting the fuzzy Hough transform. This methodology is applied in order to define the appropriate tool for a GDB of Roman street remains in Reims, France. The defined queries return an estimation of the possible presence of streets during a fuzzy time interval given by experts on the Roman period in Reims. Numéro de notice : A2014-226 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0183-1 Date de publication en ligne : 19/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0183-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33129
in Geoinformatica > vol 18 n° 2 (April 2014) . - pp 253 - 268[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014021 RAB Revue Centre de documentation En réserve L003 Disponible A new method for automatic large scale map updating using mobile mapping imagery / Jianliang Ou in Photogrammetric record, vol 28 n° 143 (September - November 2013)PermalinkA multi-resolution hybrid approach for building model reconstruction from lidar data / M. Satari in Photogrammetric record, vol 27 n° 139 (September - November 2012)PermalinkTree topology representation from TLS point clouds using depth-first search in voxel space / A. Schilling in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)PermalinkModélisation de façades par analyse conjointe d'images terrestres et de données laser / Antoine Pinte in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)PermalinkPermalinkTraitement de l'image et de la vidéo / Rachid Belaroussi (2010)PermalinkTopographic laser ranging and scanning, ch 14. Feature extraction from lidar data in urban areas / Frédéric Bretar (2009)PermalinkEffect of data density, scan angle, and flying height on the accuracy of building extraction using LiDAR data / Bharat Lohani in Geocarto international, vol 23 n° 2 (April - May 2008)PermalinkIntroduction au traitement d'images / D. Lingrand (2008)PermalinkOptimisation en traitement du signal et de l'image / Patrick Siarry (2007)Permalink