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Building roof modeling from airborne laser scanning data based on level set approach / Kamyoung Kim in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 66 n° 4 (July - August 2011) . - pp 484 - 497 Titre : Building roof modeling from airborne laser scanning data based on level set approach Type de document : Article/Communication Auteurs : Kamyoung Kim, Auteur ; J. Shan, Auteur Année de publication : 2011 Article en page(s) : pp 484 - 497 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données laser [Termes IGN] hauteur du bâti [Termes IGN] modélisation 3D [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation d'image [Termes IGN] télémétrie laser aéroporté [Termes IGN] toit Résumé : (Auteur) This paper presents a novel approach to building roof modeling, including roof plane segmentation and roof model reconstruction, from airborne laser scanning data. Segmentation is performed by minimizing an energy function formulated as multiphase level set. The energy function is minimized when each segment corresponds to one or several roof plans of the same normal vector. With this formulation, maximum n regions are segmented at a time by applying log2n level set functions. The roof ridges or step edges are then delineated by the union of the zero level contours of the level set functions. In the final step of segmentation, coplanar and parallel roof segments are separated into individual roof segments based on their connectivity and homogeneity. To reconstruct a 3D roof model, roof structure points are determined by intersecting adjacent roof segments or line segments of building boundary and then connected based on their topological relations inferred from the segmentation result. As a global solution to the segmentation problem, the proposed approach determines multiple roof segments at the same time, which leads to topological consistency among the segment boundaries. The paper describes the principle and solution of the multiphase level set approach and demonstrates its performance and properties with two airborne laser scanning data sets. Numéro de notice : A2011-299 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.02.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.02.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31078 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2011041	SL	Revue	Centre de documentation	Revues en salle	Disponible

Color correction of texture images for true photorealistic visualization / Y. Song in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 3 (May - June 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 3 (May - June 2010) . - pp 308 - 315 Titre : Color correction of texture images for true photorealistic visualization Type de document : Article/Communication Auteurs : Y. Song, Auteur ; J. Shan, Auteur Année de publication : 2010 Article en page(s) : pp 308 - 315 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] correction radiométrique [Termes IGN] réalité virtuelle [Termes IGN] texturage [Termes IGN] texture d'image [Termes IGN] visualisation de données Résumé : (Auteur) Photorealistic visualization combines 3-D geometric models with their texture images to render the virtual world. This paper points out that the texture images should be radiometrically corrected to achieve a true realistic appearance. Such a correction should include not only the color adjustment among images of the same object, but also the shade variation caused by the illumination change. The objective of this study is to correct the input texture images such that their shade varies when being rendered under different illumination directions. To achieve this goal we first apply the specular-to-diffuse mechanism based on the dichromatic reflection model to remove the specular component from the texture image. The resultant diffusion-only image then undergoes a shade correction to produce a normalized shade-free texture image. In the final step, shades under any illumination are produced to achieve a true photorealistic effect. Presented in the paper are the principles and methods for such corrections, along with a performance evaluation based on the graphic and numerical results for roof texture images. Numéro de notice : A2010-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.01.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.01.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30375 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2010031	SL	Revue	Centre de documentation	Revues en salle	Disponible

Segmentation and reconstruction of polyhedral building roofs from aerial lidar points clouds / A. Sampath in IEEE Transactions on geoscience and remote sensing, vol 48 n° 3 Tome 2 (March 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 3 Tome 2 (March 2010) . - pp 1554 - 1567 Titre : Segmentation and reconstruction of polyhedral building roofs from aerial lidar points clouds Type de document : Article/Communication Auteurs : A. Sampath, Auteur ; J. Shan, Auteur Année de publication : 2010 Article en page(s) : pp 1554 - 1567 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse de groupement [Termes IGN] cohérence géométrique [Termes IGN] détection du bâti [Termes IGN] diagramme de Voronoï [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] intégrité topologique [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation [Termes IGN] semis de points [Termes IGN] similitude [Termes IGN] toit Résumé : (Auteur) This paper presents a solution framework for the segmentation and reconstruction of polyhedral building roofs from aerial LIght Detection And Ranging (lidar) point clouds. The eigenanalysis is first carried out for each roof point of a building within its Voronoi neighborhood. Such analysis not only yields the surface normal for each lidar point but also separates the lidar points into planar and nonplanar ones. In the second step, the surface normals of all planar points are clustered with the fuzzy k-means method. To optimize this clustering process, a potential-based approach is used to estimate the number of clusters, while considering both geometry and topology for the cluster similarity. The final step of segmentation separates the parallel and coplanar segments based on their distances and connectivity, respectively. Building reconstruction starts with forming an adjacency matrix that represents the connectivity of the segmented planar segments. A roof interior vertex is determined by intersecting all planar segments that meet at one point, whereas constraints in the form of vertical walls or boundary are applied to determine the vertices on the building outline. Finally, an extended boundary regularization approach is developed based on multiple parallel and perpendicular line pairs to achieve topologically consistent and geometrically correct building models. This paper describes the detail principles and implementation steps for the aforementioned solution framework. Results of a number of buildings with diverse roof complexities are presented and evaluated. Numéro de notice : A2010-272 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2030180 Date de publication en ligne : 03/11/2009 En ligne : https://doi.org/10.1109/TGRS.2009.2030180 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30466 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2010031B	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An adaptive approach to topographic feature extraction from Digital Terrain Models / Y. Song in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 3 (March 2009) . - pp 281 - 290 Titre : An adaptive approach to topographic feature extraction from Digital Terrain Models Type de document : Article/Communication Auteurs : Y. Song, Auteur ; J. Shan, Auteur Année de publication : 2009 Article en page(s) : pp 281 - 290 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] Antarctique [Termes IGN] carte des pentes [Termes IGN] extraction automatique [Termes IGN] extraction de traits caractéristiques [Termes IGN] modèle numérique de terrain [Termes IGN] seuillage Résumé : (Auteur) This study presents an adaptive solution to topographic feature extraction from digital terrain model. First, a slope map is produced by the proposed slope estimator that combines the well-known D8 and finite difference methods. In the second step, the Laplacian of Gaussian (LOG) operator with multiple thresholds is applied to the resultant slope map to determine edge pixels that have local maximum curvature and maximum connectivity. The third step adopts the original and robust marching square algorithms to trace the topographic features. Modification is made to selectively introduce shoulder points according to the local topographic complexity. In comparison to the existing algorithms, the performance of the proposed adaptive marching square algorithm is evaluated in terms of precision and resolution of the extracted features. Digital terrain models over three locations in Antarctica are used for this study. It is shown overall reducing 75 percent of the shoulder points from the robust algorithm will cause 24 percent precision drop in the adaptive method. Copyright ASPRS Numéro de notice : A2009-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.3.281 En ligne : https://doi.org/10.14358/PERS.75.3.281 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29668 [article]

Fuzzy inference guided cellular automata urban-growth modelling using multi-temporal satellite images / S. Al-Kheder in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n°11-12 (november 2008) . - pp 1271 - 1293 Titre : Fuzzy inference guided cellular automata urban-growth modelling using multi-temporal satellite images Type de document : Article/Communication Auteurs : S. Al-Kheder, Auteur ; Jing Wang, Auteur ; J. Shan, Auteur Année de publication : 2008 Article en page(s) : pp 1271 - 1293 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse diachronique [Termes IGN] automate cellulaire [Termes IGN] croissance urbaine [Termes IGN] étalonnage des données [Termes IGN] image multitemporelle [Termes IGN] image satellite [Termes IGN] Indianapolis [Termes IGN] Inférence floue [Termes IGN] modélisation spatio-temporelle [Termes IGN] moteur d'inférence [Termes IGN] urbanisation Résumé : (Auteur) This paper presents a fuzzy inference guided cellular automata approach. Semantic or linguistic knowledge on urban development is expressed as fuzzy rules, based on which fuzzy inference is applied to determine the urban development potential for each pixel. A defuzzification process converts the development potential to the required neighbourhood development level, which is taken by cellular automata as initial approximation for its transition rules. Such approximations are updated through spatial calibration over townships and temporal calibration with multi-temporal satellite images. Assessment of the modelling results is based on three evaluation measures: fitness and Type I and Type II errors. The approach is applied to model the growth of the city of Indianapolis, Indiana over a period of 30 years from 1973 to 2003. A fitness level of 100 + 20% with 30% average errors can be achieved for 80% of the townships in urban-growth prediction. Copyright Taylor & Francis Numéro de notice : A2008-403 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810701617292 En ligne : https://doi.org/10.1080/13658810701617292 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29395 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-08071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-08072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Genetic algorithms for the calibration of cellular automata urban growth modeling / J. Shan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)  

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Building boundary tracing and regularization from airborne lidar point clouds / A. Sampath in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 7 (July 2007)  

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Principal component analysis for hyperspectral image classification / C. Rodarmel in Surveying and land information systems, vol 62 n° 2 (01/06/2002)

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Quality analysis of bundle block adjustment with navigation data / D. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 12 (december 1989)  

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