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A novel orthoimage mosaic method using a weighted A∗ algorithm : Implementation and evaluation / Maoteng Zheng in ISPRS Journal of photogrammetry and remote sensing, vol 138 (April 2018)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 138 (April 2018) . - pp 30 - 46 Titre : A novel orthoimage mosaic method using a weighted A∗ algorithm : Implementation and evaluation Type de document : Article/Communication Auteurs : Maoteng Zheng, Auteur ; Xiong Xiaodong, Auteur ; Junfeng Zhu, Auteur Année de publication : 2018 Article en page(s) : pp 30 - 46 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage [Termes IGN] diagramme de Voronoï [Termes IGN] drone [Termes IGN] jeu de données localisées [Termes IGN] modèle numérique de surface [Termes IGN] noeud [Termes IGN] orthophotoplan numérique [Termes IGN] pondération Résumé : (Auteur) The implementation and evaluation of a weighted A∗ algorithm for orthoimage mosaic with UAV (Unmanned Aircraft Vehicle) imagery is proposed. The initial seam-line network is firstly generated by standard Voronoi Diagram algorithm; an edge diagram is generated based on DSM (Digital Surface Model) data; the vertices (conjunction nodes of seam-lines) of the initial network are relocated if they are on high objects (buildings, trees and other artificial structures); and the initial seam-lines are refined using the weighted A∗ algorithm based on the edge diagram and the relocated vertices. Our method was tested with three real UAV datasets. Two quantitative terms are introduced to evaluate the results of the proposed method. Preliminary results show that the method is suitable for regular and irregular aligned UAV images for most terrain types (flat or mountainous areas), and is better than the state-of-the-art method in both quality and efficiency based on the test datasets. Numéro de notice : A2018-119 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.02.007 Date de publication en ligne : 09/03/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.02.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89588 [article]

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081-2018041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2018043	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2018042	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

LiDAR strip adjustment using multifeatures matched with aerial images / Yongjun Zhang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 2 (February 2015) . - pp 976 - 987 Titre : LiDAR strip adjustment using multifeatures matched with aerial images Type de document : Article/Communication Auteurs : Yongjun Zhang, Auteur ; Xiaodong Xiong, Auteur ; Maoteng Zheng, Auteur ; Xu Huang, Auteur Année de publication : 2015 Article en page(s) : pp 976 - 987 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] aérotriangulation numérique [Termes IGN] angle de visée [Termes IGN] compensation par bloc [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] erreur systématique [Termes IGN] image aérienne [Termes IGN] ligne de visée [Termes IGN] positionnement automatique [Termes IGN] semis de points Résumé : (Auteur) Airborne light detecting and ranging (LiDAR) systems have been widely used for the fast acquisition of dense topographic data. Regrettably, coordinate errors always exist in LiDAR-acquired points. The errors are attributable to several sources, such as laser ranging errors, sensor mounting errors, and position and orientation system (POS) systematic errors, among others. LiDAR strip adjustment (LSA) is the solution to eliminating the errors, but most state-of-the-art LSA methods neglect the influence from POS systematic errors by assuming that the POS is precise enough. Unfortunately, many of the LiDAR systems used in China are equipped with a low-precision POS due to cost considerations. Subsequently, POS systematic errors should be also considered in the LSA. This paper presents an aerotriangulation-aided LSA (AT-aided LSA) method whose major task is eliminating position and angular errors of the laser scanner caused by boresight angular errors and POS systematic errors. The aerial images, which cover the same area with LiDAR strips, are aerotriangulated and serve as the reference data for LSA. Two types of conjugate features are adopted as control elements (i.e., the conjugate points matched between the LiDAR intensity images and the aerial images and the conjugate corner features matched between LiDAR point clouds and aerial images). Experiments using the AT-aided LSA method are conducted using a real data set, and a comparison with the three-dimensional similarity transformation (TDST) LSA method is also performed. Experimental results support the feasibility of the proposed AT-aided LSA method and its superiority over the TDST LSA method. Numéro de notice : A2015-111 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2331234 En ligne : https://doi.org/10.1109/TGRS.2014.2331234 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75629 [article]

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065-2015021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Combined bundle block adjustment with spaceborne linear array and airborne frame array imagery / Yongjun Zhang in Photogrammetric record, vol 28 n° 142 (June - August 2013)  

Public [article]  inPhotogrammetric record > vol 28 n° 142 (June - August 2013) . - pp 162 - 177 Titre : Combined bundle block adjustment with spaceborne linear array and airborne frame array imagery Type de document : Article/Communication Auteurs : Yongjun Zhang, Auteur ; Maoteng Zheng, Auteur ; Lin liwen, Auteur ; Jinxin Xiong, Auteur Année de publication : 2013 Article en page(s) : pp 162 - 177 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] compensation par bloc [Termes IGN] compensation par faisceaux [Termes IGN] données vectorielles [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] intégration de données [Termes IGN] matrice [Termes IGN] partitionnement Résumé : (Auteur) The integration of multi-source earth observation data has become one of the most important developments in photogrammetry. A combined adjustment with linear array and frame array imagery (CALFI) is established in this paper. The mathematical model of CALFI is based on the conventional single-source bundle adjustment. A revised recursive partitioning technique is utilised to solve the large normal matrix of CALFI; the orientation parameters of the linear array imagery are arranged at the border of the reduced normal matrix to save both memory and computation time. The experimental results on simulated data show that both the accuracy and the condition index of the CALFI model are superior to the conventional bundle adjustment model with either linear array or frame array imagery separately due to the higher redundancy. Numéro de notice : A2013-334 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12017 Date de publication en ligne : 26/04/2013 En ligne : https://doi.org/10.1111/phor.12017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32472 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible