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GRAPHOS – open‐source software for photogrammetric applications / Diego Gonzalez-Aguilera in Photogrammetric record, vol 33 n° 161 (March 2018)  

Public [article]  inPhotogrammetric record > vol 33 n° 161 (March 2018) . - pp 11 - 29 Titre : GRAPHOS – open‐source software for photogrammetric applications Type de document : Article/Communication Auteurs : Diego Gonzalez-Aguilera, Auteur ; Luis Lopez-Fernandez, Auteur ; Pablo Rodriguez-Gonzalvez, Auteur ; David Hernandez-Lopez, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 11 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] code source libre [Termes IGN] interface graphique [Termes IGN] logiciel de photogrammétrie [Termes IGN] logiciel libre [Termes IGN] reconstruction 3D [Termes IGN] simulation Résumé : (Auteur) This paper reports the latest developments for the photogrammetric open‐source tool called GRAPHOS (inteGRAted PHOtogrammetric Suite). GRAPHOS includes some recent innovations in the image‐based 3D reconstruction pipeline, from automatic feature detection/description and network orientation to dense image matching and quality control. GRAPHOS also has a strong educational component beyond its automated processing functions, reinforced with tutorials and didactic explanations about algorithms and performance. The paper highlights recent developments carried out at different levels: graphical user interface (GUI), didactic simulators for image processing, photogrammetric processing with weight parameters, dataset creation and system evaluation. Numéro de notice : A2018-219 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12231 Date de publication en ligne : 21/02/2018 En ligne : https://doi.org/10.1111/phor.12231 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90039 [article]

Progressive registration of image features and 3D vector lines for orientation modelling / Wen-Chi Chang in Photogrammetric record, vol 33 n° 161 (March 2018)  

Public [article]  inPhotogrammetric record > vol 33 n° 161 (March 2018) . - pp 66 - 85 Titre : Progressive registration of image features and 3D vector lines for orientation modelling Type de document : Article/Communication Auteurs : Wen-Chi Chang, Auteur ; Ching-Hui Hung, Auteur ; Liang-Chien Chen, Auteur Année de publication : 2018 Article en page(s) : pp 66 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] arc [Termes IGN] élément d'orientation externe [Termes IGN] ligne (géométrie) [Termes IGN] superposition d'images Résumé : (Auteur) This paper proposes a progressive method to register image features and three‐dimensional (3D) vector lines for image orientation modelling. Directed at images acquired with an approximate direct‐georeferencing capability, this study employed 3D vector lines extracted from a geographical information system (GIS) database as ground control. The major work comprises three steps: (1) straight lines were parameterised and applied as control in the collinearity condition equations to determine exterior orientation parameters (EOPs); (2) coarse registration employed quadrangle features formed from straight lines to modify the initial EOPs; and (3) a two‐step fine registration, initially involving all line‐feature candidates, followed by the selection of the most probable one from neighbouring lines. Experimental results indicate that the proposed methods can achieve an accuracy of about 2 pixels (close to the accuracy of the employed GIS database) from initial EOPs with more than 800 pixel errors. Accuracy improvements in each step of the proposed coarse‐to‐fine registration are also demonstrated. Numéro de notice : A2018-220 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12227 Date de publication en ligne : 12/02/2018 En ligne : https://doi.org/10.1111/phor.12227 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90040 [article]

Modelling and automated calibration of a general multi‐projective camera / Ehsan Khoramshahi in Photogrammetric record, vol 33 n° 161 (March 2018)  

Public [article]  inPhotogrammetric record > vol 33 n° 161 (March 2018) . - pp 86 - 112 Titre : Modelling and automated calibration of a general multi‐projective camera Type de document : Article/Communication Auteurs : Ehsan Khoramshahi, Auteur ; Eija Honkavaara, Auteur Année de publication : 2018 Article en page(s) : pp 86 - 112 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] chambre métrique [Termes IGN] compensation par faisceaux [Termes IGN] étalonnage de chambre métrique [Termes IGN] modélisation géométrique de prise de vue Résumé : (Auteur) Recently, multi‐projective cameras (MPCs), often based on frame‐mounted multiple cameras with a small baseline and arbitrary overlap, have found a remarkable place in geomatics and vision‐based applications. This paper outlines the geometric calibration of a general MPC by presenting a mathematical model that describes its unknown generic geometry. A modified bundle block adjustment is employed to calibrate an industrial‐level 360° non‐metric camera. The structure of any MPC can be retrieved as a calibration set of relative and interior orientation parameters (as well as the pose of the MPC shots) using a calibration room which has been accurately determined by close range photogrammetry. To demonstrate the efficiency and precision of the model, a Panono camera (an MPC with 36 individual cameras) was calibrated. After the adjustment, sub‐pixel image residuals and acceptable object‐space errors were observed. Numéro de notice : A2018-221 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12230 Date de publication en ligne : 28/02/2018 En ligne : https://doi.org/10.1111/phor.12230 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90041 [article]

Seamline optimisation for urban aerial ortho‐image mosaicking using graph cuts / Yunsheng Zhang in Photogrammetric record, vol 33 n° 161 (March 2018)  

Public [article]  inPhotogrammetric record > vol 33 n° 161 (March 2018) . - pp 131 - 147 Titre : Seamline optimisation for urban aerial ortho‐image mosaicking using graph cuts Type de document : Article/Communication Auteurs : Yunsheng Zhang, Auteur ; Minglei Zhang, Auteur ; Shouji Du, Auteur ; Zhengrong Zou, Auteur ; Chong Fan, Auteur Année de publication : 2018 Article en page(s) : pp 131 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage [Termes IGN] algorithme Graph-Cut [Termes IGN] optimisation (mathématiques) [Termes IGN] orthophotoplan numérique [Termes IGN] raccord d'images [Termes IGN] zone urbaine Résumé : (Auteur) Optimal seamline detection is a key step when composing digital orthophotomaps (DOM) of extensive areas from overlapping ortho‐images. To avoid seamlines passing through buildings when mosaicking, seamline detection between adjacent ortho‐images is casted as a graph‐cut problem. To avoid buildings, colour differences and gradient magnitude derived from the ortho‐images, together with approximate object heights derived from a digital surface model (DSM), are combined for constructing the cost term of the graph. To efficiently obtain an approximate height value for each DOM unit, an expanded normalised DSM is proposed. Furthermore, the designed cost term for final composite ortho‐image merging is weighted to prioritise pixels closest to the nadir point. Experiments with strips of aerial images show that the proposed method obtains seamless mosaicking of ortho‐images without manual work. Numéro de notice : A2018-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12232 Date de publication en ligne : 25/03/2018 En ligne : https://doi.org/10.1111/phor.12232 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90042 [article]