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Extraction and textural characterization of above-ground areas from aerial stereo pairs: a quality assessment / Caroline Baillard in ISPRS Journal of photogrammetry and remote sensing, vol 53 n° 2 (April - May 1998)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 53 n° 2 (April - May 1998) . - pp 130 - 141 Titre : Extraction and textural characterization of above-ground areas from aerial stereo pairs: a quality assessment Type de document : Article/Communication Auteurs : Caroline Baillard , Auteur ; Olivier Dissard , Auteur ; Olivier Jamet , Auteur ; Henri Maître, Auteur Année de publication : 1998 Article en page(s) : pp 130 - 141 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] analyse texturale [Termes IGN] appariement [Termes IGN] couple stéréoscopique [Termes IGN] détection du bâti [Termes IGN] image panchromatique [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] modèle de Markov [Termes IGN] modèle numérique de surface [Termes IGN] niveau de gris (image) [Termes IGN] photographie aérienne [Termes IGN] sursol [Termes IGN] végétation Résumé : (Auteur) Above-ground analysis is a key point to the reconstruction of urban scenes, but it is a difficult task because of the diversity of the involved objects. We propose a new method to above-ground extraction from an aerial stereo pair, which does not require any assumption about object shape or nature. A Digital Surface Model is first produced by a stereoscopic matching stage preserving discontinuities, and then processed by a region-based Markovian classification algorithm. The produced above-ground areas are finally characterized as man-made or natural according to the grey level information. The quality of the results is assessed and discussed. Copyright ISPRS Numéro de notice : A1998-192 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(97)00036-1 Date de publication en ligne : 15/06/1998 En ligne : https://doi.org/10.1016/S0924-2716(97)00036-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26158 [article]

Tobago, a semi-automated approach for the generation of 3-D building models / Armin W. Gruen in ISPRS Journal of photogrammetry and remote sensing, vol 53 n° 2 (April - May 1998)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 53 n° 2 (April - May 1998) . - pp 108 - 118 Titre : Tobago, a semi-automated approach for the generation of 3-D building models Type de document : Article/Communication Auteurs : Armin W. Gruen, Auteur Année de publication : 1998 Article en page(s) : pp 108 - 118 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] Autocad Map [Termes IGN] détection du bâti [Termes IGN] extraction semi-automatique [Termes IGN] interface utilisateur [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] modèle géométrique du bâti [Termes IGN] semis de points [Termes IGN] visualisation 3D Résumé : (Auteur) 3-D city models are in increasing demand for a great number of applications. Photogrammetry is a relevant technology that can provide an abundance of geometric, topologic and semantic information concerning these models. The pressure to generate a large amount of data with high degree of accuracy and completeness poses a great challenge to photogrammetry. The development of automated and semi-automated methods for the generation of those data sets is therefore a key issue in photogrammetric research. We present in this article a strategy and methodology for an efficient generation of even fairly complex building models. Within this concept we request the operator to measure the house roofs from a stereomodel in form of an unstructured point cloud. According to our experience this can be done very quickly. Even a non-experienced operator can measure several hundred roofs or roof units per day. In a second step we fit generic building models fully automatically to these point clouds. The structure information is inherently included in these building models. In such a way geometric, topologic and even semantic data can be handed over to a CAD-system, in our case AutoCad, for further visualization and manipulation. The structuring is achieved in three steps. In a first step a classifier is initiated which recognizes the class of houses a particular roof point cloud belongs to. This recognition step is primarily based on the analysis of the number of ridge points. In the second and third steps the concrete topological relations between roof points are investigated and generic building models are fitted to the point clouds. Based on the technique of constraint-based reasoning two geometrical parsers are solving this problem. We have tested the methodology under a variety of different conditions in several pilot projects. The results will indicate the good performance of our approach. In addition we will demonstrate how the results can be used for visualization (texture mapping) and animation (walk-throughs and fly-overs). Copyright ISPRS Numéro de notice : A1998-243 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(97)00034-8 En ligne : https://doi.org/10.1016/S0924-2716(97)00034-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29435 [article]