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Auteur Andrzej Borkowski |
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Verification and updating of the database of topographic objects with geometric information about buildings by means of airborne laser scanning dataeans of Airborne Laser Scanning Data / Małgorzata Mendela-Anzlik in Reports on geodesy and geoinformatics, vol 103 n° 1 (June 2017)
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Titre : Verification and updating of the database of topographic objects with geometric information about buildings by means of airborne laser scanning dataeans of Airborne Laser Scanning Data Type de document : Article/Communication Auteurs : Małgorzata Mendela-Anzlik, Auteur ; Andrzej Borkowski, Auteur Année de publication : 2017 Article en page(s) : pp 10 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données topographiques
[Termes IGN] bati
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] mise à jour de base de données
[Termes IGN] objet géographiqueRésumé : (auteur) Airborne laser scanning data (ALS) are used mainly for creation of precise digital elevation models. However, it appears that the informative potential stored in ALS data can be also used for updating spatial databases, including the Database of Topographic Objects (BDOT10k). Typically, geometric representations of buildings in the BDOT10k are equal to their entities in the Land and Property Register (EGiB). In this study ALS is considered as supporting data source. The thresholding method of original ALS data with the use of the alpha shape algorithm, proposed in this paper, allows for extraction of points that represent horizontal cross section of building walls, leading to creation of vector, geometric models of buildings that can be then used for updating the BDOT10k. This method gives also the possibility of an easy verification of up-to-dateness of both the BDOT10k and the district EGiB databases within geometric information about buildings. For verification of the proposed methodology there have been used the classified ALS data acquired with a density of 4 points/m2. The accuracy assessment of the identified building outlines has been carried out by their comparison to the corresponding EGiB objects. The RMSE values for 78 buildings are from a few to tens of centimeters and the average value is about 0,5 m. At the same time for several objects there have been revealed huge geometric discrepancies. Further analyses have shown that these discrepancies could be resulted from incorrect representations of buildings in the EGiB database. Numéro de notice : A2017-573 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1515/rgg-2017-0003 En ligne : https://doi.org/10.1515/rgg-2017-0003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86697
in Reports on geodesy and geoinformatics > vol 103 n° 1 (June 2017) . - pp 10 - 21[article]3D building reconstruction from ALS data using unambiguous decomposition into elementary structures / Malgorzata Jarząbek-Rychard in ISPRS Journal of photogrammetry and remote sensing, vol 118 (August 2016)
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Titre : 3D building reconstruction from ALS data using unambiguous decomposition into elementary structures Type de document : Article/Communication Auteurs : Malgorzata Jarząbek-Rychard, Auteur ; Andrzej Borkowski, Auteur Année de publication : 2016 Article en page(s) : pp 1 – 12 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] interprétation automatique
[Termes IGN] modèle logique de données
[Termes IGN] modèle topologique de données
[Termes IGN] niveau de détail
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (auteur) The objective of the paper is to develop an automated method that enables for the recognition and semantic interpretation of topological building structures. The novelty of the proposed modeling approach is an unambiguous decomposition of complex objects into predefined simple parametric structures, resulting in the reconstruction of one topological unit without independent overlapping elements. The aim of a data processing chain is to generate complete polyhedral models at LOD2 with an explicit topological structure and semantic information. The algorithms are performed on 3D point clouds acquired by airborne laser scanning. The presented methodology combines data-based information reflected in an attributed roof topology graph with common knowledge about buildings stored in a library of elementary structures. In order to achieve an appropriate balance between reconstruction precision and visualization aspects, the implemented library contains a set of structure-depended soft modeling rules instead of strictly defined geometric primitives. The proposed modeling algorithm starts with roof plane extraction performed by the segmentation of building point clouds, followed by topology identification and recognition of predefined structures. We evaluate the performance of the novel procedure by the analysis of the modeling accuracy and the degree of modeling detail. The assessment according to the validation methods standardized by the International Society for Photogrammetry and Remote Sensing shows that the completeness of the algorithm is above 80%, whereas the correctness exceeds 98%. Numéro de notice : A2016-587 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.04.005 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81731
in ISPRS Journal of photogrammetry and remote sensing > vol 118 (August 2016) . - pp 1 – 12[article]
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Titre : Theoretical geodesy Type de document : Article/Communication Auteurs : Andrzej Borkowski, Auteur ; Wieslaw Kosek, Auteur Année de publication : 2015 Article en page(s) : pp 261 - 279 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie
[Termes IGN] estimation statistique
[Termes IGN] fiabilité des données
[Termes IGN] mouvement du pôle
[Termes IGN] série temporelleRésumé : (auteur) The paper presents a summary of research activities concerning theoretical geodesy performed in Poland in the period of 2011-2014. It contains the results of research on new methods of the parameter estimation, a study on robustness properties of the M-estimation, control network and deformation analysis, and geodetic time series analysis. The main achievements in the geodetic parameter estimation involve a new model of the M-estimation with probabilistic models of geodetic observations, a new Shift-Msplit estimation, which allows to estimate a vector of parameter differences and the Shift-Msplit(+) that is a generalisation of Shift-Msplit estimation if the design matrix A of a functional model has not a full column rank. The new algorithms of the coordinates conversion between the Cartesian and geodetic coordinates, both on the rotational and triaxial ellipsoid can be mentioned as a highlights of the research of the last four years. New parameter estimation models developed have been adopted and successfully applied to the control network and deformation analysis.
New algorithms based on the wavelet, Fourier and Hilbert transforms were applied to find time-frequency characteristics of geodetic and geophysical time series as well as time-frequency relations between them. Statistical properties of these time series are also presented using different statistical tests as well as 2nd, 3rd and 4th moments about the mean. The new forecasts methods are presented which enable prediction of the considered time series in different frequency bands.Numéro de notice : A2015--019 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/geocart-2015-0015 En ligne : http://dx.doi.org/10.1515/geocart-2015-0015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80815
in Geodesy and cartography > vol 64 n° 2 (December 2015) . - pp 261 - 279[article]Modellierung von Oberflächen mit Diskontinuitäten / Andrzej Borkowski (2004)
Titre : Modellierung von Oberflächen mit Diskontinuitäten Titre original : [Modélisation des superficies avec des discontinuités] Type de document : Thèse/HDR Auteurs : Andrzej Borkowski, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2004 Collection : DGK - C Sous-collection : Dissertationen num. 575 Importance : 91 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5014-3 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] contour
[Termes IGN] données laser
[Termes IGN] lasergrammétrie
[Termes IGN] lissage de données
[Termes IGN] modèle numérique de terrain
[Termes IGN] semis de points
[Termes IGN] vectorisationIndex. décimale : 35.20 Traitement d'image Résumé : (Auteur) The laser scanning provides very dense information about the surface to be modelled in the form of a irregularly distributed points cloud {x, y, z} c R3. Such dense information makes possible an efficient modelling of characteristic structures of the terrain surface like discontinuities, which are necessary for high-qualitative description of the surface. Simultaneously, the points not belonging to the modelled surface (for example: reflexes from buildings, trees etc.) stand a very important influence on the obtained data. During the modelling process, such data should be effectively filtered from the whole data set.
The laser scanning data can be efficiently elaborated by the use of deformable models of curves and surfaces. These models base on the physical principle of energy-minimizing and are presented as the solution of variational problem. The total energy consists both of internal and external energy. The external energy, depending on a context is generated by the data; in most cases it describes a deviation between the data and a model. The internal energy describes geometrical properties of curves and is characterized by elasticity and viscosity. Both terms are mutually weighted by the local control parameters a and 0. Varying the parameters makes it possible to stretch the curves to a geometrical shapes. The snake-approximation is used for a profiled modelling of surfaces. Due to that, a formulation of external energy was proposed making possible a robust modelling of profiles: during an iterative process, gross errors can be filtered, measuring errors can be smoothed and discontinuities can be preserved. Fitting the snakes-models to the data runs iteratively, however the control parameters depending on the data are being spread.
By generalizing the snakes, the model is introduced by sufficient smoothes, energy-charged pieces of a surface and furthermore described by flakes. The internal energy within the flakes model consists of a membrane and a thin-plate kernel which describes the inclination and curvature properties of the modelled terrain surface. The energy pieces will furthermore be weighted by the local control parameters a and fl. A minimizing of the total flakes energy leads again to the variational problem which had been differently solved. By formulate the Euler equations and their further diskretizing by finite differences, the flakes-model stands for regular data. The previous variational problem will also be solved by the use of so-called Ritz method. The improved flakes model was developed for regular data by using a linear base function. However, for the irregular data the flakes model was modified by the use of a Gaussian function. The modelling of the data by flakes runs iteratively. By using the flakes model for regular data it is possible to reject the gross errors, also to smooth the noise by simultaneous preserving the form of edges.
In many applications the information about spatial location of terrain edges is needed. To present such spatial location description of edges in a vector format based on irregular points cloud {x, y, z} obtained during laser scanning, it was proposed to describe a gross-errors-free data by surface functions and to average the edges as a intersection of two surfaces zi = fi(x, y) ; i = 1, 2. To this purpose, all the data should furthermore be ordered in separate pieces of the surface. This problem can be solved by using the standard methods of image processing. The projection {x(s), y(s)} of edges is found in the xy coordinate plane and the z-coordinates consist of fi (x(s), y(s)). To the intersection of two surfaces relates: f1 (x(s), y(s)) = f2 (x(s), y(s)) = 0. Based on this condition, two approaches of intersection curve identification were developed. The line-tracking algorithm relies on numerical integration of differential equations relative to the particular problem. For the numerical integration there is a starting point needed. Due to that, a seeking-approach was proposed. Opposite to the local algorithm it was presented a global approach using a snakes-method with a proper definition of external energy. Both algorithms make it possible a reliable, high-accurate identification of terrain edges basing on irregular points cloud.
The algorithms and approaches developed in this work have been tested on real data sets obtained by a laser scanning. Furthermore, a qualitative consideration of a modelling has been given. Finally, some hints for user according the steering and operating of the approaches have been presented.Numéro de notice : 13256 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54940 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 13256-01 35.20 Livre Centre de documentation Télédétection Disponible Stochastisch-geometrische Beschreibung, Filterung und Präsentation des Reliefs / Andrzej Borkowski (1994)
Titre : Stochastisch-geometrische Beschreibung, Filterung und Präsentation des Reliefs Titre original : [Description géométrique aléatoire, filtrage et présentation du relief] Type de document : Thèse/HDR Auteurs : Andrzej Borkowski, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 1994 Collection : DGK - C Sous-collection : Dissertationen num. 431 Importance : 85 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 3-7696-9474-4 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] discrétisation
[Termes IGN] entropie
[Termes IGN] filtrage linéaire
[Termes IGN] modèle numérique de terrain
[Termes IGN] représentation discrèteIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) This Doctoral thesis covers two main items: the linear relief filtering with restrictions and the discretization of relief without information loss. The modelling of the relief, which is assumed to be a realization of a two-dimensional normal, homogeneous, and bandlimited stochastic process, is based on the theory of stochastic processes. The adequacy of the model choice and its assumptions has been verified using some natural reliefs of the Earth's surface.
Concerning linear filtering the following quantity and quality restrictions were used: preservation of relief shape, of volume, of terrain inclination and finally, the reduction of relative extremums according to Toepfer's choice rule are expressed in stochastic process terminology. The above conditions are realized by the two-dimensional, non-recursive, digital linear filtering (e.g. for generalization purposes, for relief smoothing using digital data). In order to estimate the required parameters the complete knowledge of second order process quantities (autocovariance function or spectral density) is necessary. Numerical experiments with different relief types stored in digital terrain models (DTM) confirmed the possibility of practical realization of linear filtering with restrictions.
The conventional sampling theorem concerning bandlimited random signals is based on the discretization of the abscissa. In opposite to that, the contour line representation of the relief corresponds to a discretization on the ordinate. Sampling rules according to the ordinate, consistent with the original sampling theorem, are given for both one-dimensional and two-dimensional continuous stochastic processes and additionally for discrete signals (time series). Vertical and horizontal intervals of discretization relate to each other by the correlation coefficients of neighboured signal values for discrete signals or by the second order moment of terrain inclination for continuous processes. An estimation approach for optimum grid cell size of DTM interpolated from topographic maps is proposed. This grid ensures a complete as well as a non-redundant data capture from contour line information. The approach is based on the relation between vertical and horizontal intervals of discretization. The necessary parameter i.e. the variance of terrain inclination is estimated using measured lengths of contour lines at different height levels. The consistence of the discretization rules has been confirmed by numerical experiments.Numéro de notice : 28057 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63404 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 28057-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 28057-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible