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Class-guided building extraction from imagery / D. Scott Lee in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 2 (February /2003) . - pp 143 - 150 Titre : Class-guided building extraction from imagery Type de document : Article/Communication Auteurs : D. Scott Lee, Auteur ; Shan Jie, Auteur ; J. Bethel, Auteur Année de publication : 2003 Article en page(s) : pp 143 - 150 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] classification non dirigée [Termes IGN] détection de contours [Termes IGN] détection du bâti [Termes IGN] extraction automatique [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] milieu urbain [Termes IGN] reconstruction 2D du bâti [Termes IGN] transformation de Hough Résumé : (Auteur) Recent high resolution satellite images provide a valuable new data source for geospatial information acquisition. This paper addresses building extraction from Ikonos images in urban areas. The proposed approach uses the classification results of Ikonos multispectral images to provide approximate location and shape for candidate building objects. Their fine extraction is then carried out in the corresponding panchromatic image through segmentation and squaring. The ECHO classifier is used for supervised classification while the ISODATA algorithm is used for unsupervised classification and subsequent image segmentation. The classification performance is evaluated using the classification confusion matrix, while the final building extraction results are assessed based on the manually delineated results. A building squaring approach based on the Hough transformation is developed that detects and forms the rectilinear building boundaries. A number of sample results are presented to illustrate the approach and demonstrate its efficiency. It is shown that about 64.4 percent of the buildings can be detected, extracted, and accurately formed through this process. Remaining difficulties are high percentage false alarm errors caused by the misclassification of road and building classes as well as occlusion and shadows that may mislead the extraction process. Numéro de notice : A2003-011 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.2.143 En ligne : https://doi.org/10.14358/PERS.69.2.143 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22309 [article]

Semiautomated building extraction based on CSG model-image fitting / Yi-Hsing Tseng in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 2 (February /2003) . - pp 171 - 180 Titre : Semiautomated building extraction based on CSG model-image fitting Type de document : Article/Communication Auteurs : Yi-Hsing Tseng, Auteur ; Shuo Wang, Auteur Année de publication : 2003 Article en page(s) : pp 171 - 180 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] détection de contours [Termes IGN] détection du bâti [Termes IGN] extraction semi-automatique [Termes IGN] géomètrie algorithmique [Termes IGN] image aérienne [Termes IGN] méthode des moindres carrés [Termes IGN] point de vérification [Termes IGN] primitive géométrique [Termes IGN] solide Résumé : (Auteur) Building extraction based on preestablished models has been recognized as a promising idea for acquiring 3D data for buildings from aerial images. This paper proposes a novel building extraction method developed from the concept of fitting CSG (Constructive Solid Geometry) primitives to aerial images. To be practicable, this method adopts a semiautomatic procedure, carrying out highlevel tasks (building detection, model selection, and attribution) interactively by the operator and performing optimal modelimage fitting automatically with a leastsquares fitting algorithm. Buildings, represented by CSG models, can be reconstructed part by part after fitting each parameterized CSG primitive to the edge pixels of aerial images. Reconstructed building parts can then be combined using CSG Boolean set operators. Consequently, a building is represented by a CSG tree in which each node links two branches of combined parts. This paper demonstrates ten examples of building extraction from aerial photos taken at a scale of 1:5,000 and scanned at a pixel size of 25 1.um. All of the tests were performed in the prototypal system implemented in a CADbased environment cooperated with a number of specially designed programs. The process time for each primitive is about 20 seconds and the successful rate of model-image fitting was about 90 percent. Evaluated with some check points, the fitting accuracy was about 0,3 m horizontally and 1 m vertically. The test results are encouraging and promote the theory of modelbased building extraction. Numéro de notice : A2003-012 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.2.171 En ligne : https://doi.org/10.14358/PERS.69.2.171 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22310 [article]

Robust reconstruction of building models from three-dimensional line segments / Jiann-Yeou Rau in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 2 (February /2003) . - pp 181 - 188 Titre : Robust reconstruction of building models from three-dimensional line segments Type de document : Article/Communication Auteurs : Jiann-Yeou Rau, Auteur ; L.C. Chen, Auteur Année de publication : 2003 Article en page(s) : pp 181 - 188 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes IGN] automatisation [Termes IGN] contour [Termes IGN] extraction semi-automatique [Termes IGN] méthode robuste [Termes IGN] niveau du sol [Termes IGN] primitive volumique [Termes IGN] reconstruction 3D du bâti [Termes IGN] segment de droite Résumé : (Auteur) This paper presents a novel method for semiautomatically constructing building models from photogrammetric 3D line segments of buildings, i.e., their roof edges. The method, which we call "Split MergeShape" (SMS), can treat both complete line segments as well as incomplete line segments due to image occlusions. The proposed method is comprised of five major parts: (1) the creation of the Region of Interest (ROI) and preprocessing, (2) splitting the model by using the 3D line segments to construct a combination of roof primitives, (3) merging connected roof primitives to complete the boundary of each building, (4) shaping each building rooftop by connected coplanar analysis and coplanar fitting, and (5) quality assurance. The experimental results indicate that the proposed method can soundly rebuild the topology from the 3D line segments and reconstruct building models with up to a 98 percent success rate. The proposed SMS method has been proved reliable and effective, with a high degree of automation, even when groups of connected buildings or complex types of buildings are processed. Numéro de notice : A2003-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.2.181 En ligne : https://doi.org/10.14358/PERS.69.2.181 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22311 [article]

Automatic matching and three-dimensional reconstruction of free-form linear features from stereo images / A.F. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 2 (February /2003) . - pp 189 - 197 Titre : Automatic matching and three-dimensional reconstruction of free-form linear features from stereo images Type de document : Article/Communication Auteurs : A.F. Habib, Auteur ; Y.R. Lee, Auteur ; M. Morgan, Auteur Année de publication : 2003 Article en page(s) : pp 189 - 197 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes IGN] appariement de formes [Termes IGN] contour [Termes IGN] couple stéréoscopique [Termes IGN] courbe épipolaire [Termes IGN] géométrie épipolaire [Termes IGN] milieu urbain [Termes IGN] objet géographique linéaire [Termes IGN] photographie à grande échelle [Termes IGN] reconstruction 3D du bâti [Termes IGN] transformation de Hough Résumé : (Auteur) Automatic matching of freeform linear features in overlapping largescale imagery over urban areas still remains to be a problem in both the photogrammetric and computer vision communities. Although there is a variety of algorithms that have been developed to solve this problem, reliable results are not always guaranteed. Differences in illumination conditions, relief displacement, and occlusions are some of the factors that make solving the matching problem more challenging. The deficiency of available techniques stems from the fact that they do not consider the perspective geometry of the imaging system in the matching process. Moreover, it is usually assumed that conjugate entities are almost exact copies of each other (this is rarely the case). The need for a reliable algorithm that can handle largescale imagery over urban areas is growing, especially with the increasing availability of high resolution aerial imagery. In this research, a new approach for automatic matching and threedimensional reconstruction of freeform linear features from stereo images is proposed. The suggested strategy is based on The Modified Iterated Hough Transform (MIHT) for Robust Parameter Estimation, MIHT relies on the mathematical relationship between conjugate entities (the coplanarity condition when dealing with a stereo pair). As a result, it overcomes problems arising from relief displacements and/or occlusions. Moreover, MIHT simultaneously solves for the relative orientation parameters as well as the correspondence between conjugate entities in a stereo pair. Matching ambiguities along and across conjugate epipolar lines are observed in the correspondence output from MIHT. Ambiguities along the epipolar lines stem from the nature of the coplanarity model, which establishes the correspondence between conjugate epipolar lines rather than conjugate points. On the other hand, ambiguities across the epipolar lines are expected due to the discrete cell size of the implemented accumulator array in MIHT. In this work, the ambiguities are resolved through several pruning techniques such as correlation coefficient, edge connectivity, height information, and epipolar geometry. Conjugate entities with subpixel accuracy are finally used to reconstruct accurate and reliable threedimensional imagespace discontinuities. Various experiments using largescale imagery over urban areas proved the reliability and robustness of the proposed method. Numéro de notice : A2003-014 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.2.189 En ligne : https://doi.org/10.14358/PERS.69.2.189 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22312 [article]