Uwe Weidner

Alumnus

Department for Photogrammetry
Nussallee 15
53115 Bonn

Email:

unknown

Research Associate (m)

am Institut tätig

von 1992 bis 1997 und von 2002 bis 2003

Information

September 1997 until June 2000 with Hansa Luftbild, Münster
July 2000 until March 2002 with J&P Consulting, Hennef
since April 2002 back again at the Institute of Photogrammetry, Bonn

Projects

Member of the SFB 350 Project. See also .

Fields of Interest

Publications

2003

Mirko Appel and Uwe Weidner, "A New Approach Towards Quantative Quality Evaluation of 3D Building Models", In ISPRS Commission IV Joint Workshop Challenges in Geospatial Analysis, Integration and Visualization II. Stuttgart 2003.

The need of describing the quality of data ranges from data acquisition to the use of the data in geoinformation systems. The contractor should verify that the data he captured suffices the specifications and the end user wants to know, if the data is suited for a special task at hand. Both are interested in quantifying the quality, possibly by simple and meaningful measures, which can be easily computed without much further efforts prohibitive with respect to involved labour and related costs. Much work has been already done on the standardization of principles of quality evaluation, reports and metadata (c.f. ISO standards 19113, 19114 and 19115), but only few contributions deal with the question of defining quality measures for a specific application, which possibly may be generalized for others as well. A recent project in cooperation with the Surveying Office of North Rhine-Westphalia investigates the topic of quality evaluation of photogrammetrically captured building models with the aim to identify useful quality measures which can be used for contract specificatios and to implement an approach for automated quality control based on a comparision of measurement and reference data. This paper presents the concept of the approach and first results.

@inproceedings{Appel2003New,
  author = {Appel, Mirko and Weidner, Uwe},
  title = {A New Approach Towards Quantative Quality Evaluation of 3D Building Models},
  booktitle = {ISPRS Commission IV Joint Workshop Challenges in Geospatial Analysis, Integration and Visualization II},
  year = {2003}
}

1998

Ansgar Brunn and Uwe Weidner, "Hierarchical Bayesian Nets for Building Extraction Using Dense Digital Surface Models", Journal for Photogrammetry & Remote Sensing. Vol. 53, pp. 296-307. 1998.

During the last years an increasing demand for 3D data of urban scenes can be recognized. Techniques for automatic acquisition of buildings are needed to satisfy this demand in an economic way. This paper describes an approach for building extraction using digital surface models (DSM) as input data. The first task is the detection of areas within the DSM which describe buildings. The second task is the reconstruction of geometric building descriptions. In this paper we focus on new extensions of our approach. The first extension is the detection of buildings using two alternative classification schemes: a binary or a statistical classification based on Bayesian nets, both using local geometric properties. The second extension is the extraction of roof structures as a first step towards the reconstruction of polyhedral building descriptions.

@article{Brunn1998Hierarchical,
  author = {Brunn, Ansgar and Weidner, Uwe},
  title = {Hierarchical Bayesian Nets for Building Extraction Using Dense Digital Surface Models},
  journal = {Journal for Photogrammetry \& Remote Sensing},
  year = {1998},
  volume = {53},
  pages = {296--307},
  doi = {10.1016/S0924-2716(98)00012-4}
}

1997

Ansgar Brunn and Uwe Weidner, "Extracting Buildings from Digital Surface Models", In IAPRS: 3D Reconstruction and Modeling of Topographic Objects. Stuttgart 1997.

This paper describes an approach for building extraction using Digital Surface Models (DSM) as input data. The first task is the detection of areas within the DSM which describe buildings. The second task is the reconstruction of buildings for which we apply parametric and prismatic building models. The main focus is on the detection, namely on the use of height and differential geometric information in combination. Furthermore, recent results for the extraction of roof structures as first step towards the extraction of polyhedral building descriptions are presented.

@inproceedings{Brunn1997Extracting,
  author = {Brunn, Ansgar and Weidner, Uwe},
  title = {Extracting Buildings from Digital Surface Models},
  booktitle = {IAPRS: 3D Reconstruction and Modeling of Topographic Objects},
  year = {1997},
  doi = {10.1016/S0924-2716(98)00012-4}
}

Uwe Weidner, "Digital Surface Models for Building Extraction", In Automatic Extraction of Man-Made Objects from Aerial and Space Images (II). Gruen, A. (Eds.) 1997.

This paper describes an approach to building extraction using Digital Surface Models (DSM) as input data. The approach consists of building detection and reconstruction using parametric and prismatic building models. The main focus is on the extraction of roof structures, an extension of the previously published work, as first step towards the extraction of polyhedral building descriptions in order to also allow the extraction of complex buildings.

@inproceedings{Weidner1997Digital,
  author = {Weidner, Uwe},
  editor = {Gruen, A.},
  title = {Digital Surface Models for Building Extraction},
  booktitle = {Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)},
  year = {1997},
  doi = {10.1007/978-3-0348-8906-3_19}
}

Uwe Weidner, "Gebäudeerfassung aus Digitalen Oberflächenmodellen", In Deutsche Geodätische Kommission. München 1997.

Summary
During the last years the need for three-dimensional data describing urban areas increased. This data include building data, which in many cases are not available or do not fulfill the requirements of a special application. Due to these reasons, the capture and update of this data are necessary. Available techniques to solve these tasks are often expensive. Therefore, automization and thereby increasing the efficiency of data acquisition are required. The topic of the thesis is building extraction from Digital Surface Models (DSM). Such surface models do not only contain information about the topographic surface like Digital Elevation Models (DEM), but also about buildings and other objects higher than the topographic surface. An approach to automatic building extraction from DSM is presented and the suitability of DSM as input data for this purpose is investigated. The use of DSM for building extraction using parametric and prismatic building models as only input data is a new approach. It offers the possibility to use sensors like airborne laser scanners, which have not been used for the purpose of building data capture up to now. Previously published approaches dealing with building extraction often use DSM for building detection only. The inherent potential of DSM with respect to building reconstruction was explored only by a few authors, but either restricted to simple building models or by using digital images as additional and necessary input data. Besides DSM, GIS data is used in this approach as additional data source, which mostly contain only two-dimensional information. The object, sensor, and data models, which are used in this thesis, are discussed and motivated, and the strategy and methods for data exploitation are presented. The strategy and the object models - possibly in a modified form - are also used in other approaches to building extraction. Some of these approaches are discussed and the conclusions are reflected in the presented new approach. The new approach covers the detection and reconstruction of buildings using DSM as only input data. GIS data - if available - can be incorporated, allowing also change detection for the purpose of updating the GIS. The results of the different steps are evaluated qualitatively and quantitatively. The quality measures are derived and discussed. Furthermore, the results are compared to those of other approaches using reference data. The achieved results show that DSM are in principle suitable for building extraction using the described approach. Restrictions with respect to the only use of DSM and problems concerning the modeling are discussed and solutions are proposed.
Zusammenfassung
Gebäudedaten bilden einen wesentlichen Bestandteil der in den letzten Jahren mehr und mehr nachgefragten dreidimensionalen Daten digitaler Stadtmodelle. Solche Daten sind häufig nicht verfügbar oder genügen nicht den Anforderungen der jeweiligen Anwendung. Aus diesen Gründen sind oftmals eine Ersterfassung und Fortführung notwendig. Die Lösung beider Aufgaben ist mit den heute eingesetzten Verfahren i.a. mit einem hohen Aufwand verbunden, so dass eine Automation und hierdurch eine Minimierung des Aufwandes wünschenswert sind. Thema dieser Arbeit ist die Gebäudeerfassung aus Digitalen Oberflächenmodellen (DOM). Diese repräsentieren nicht nur Information über die topographische Oberfläche, wie Digitale Höhenmodelle (DHM), sondern auch Information über die in einem Gebiet befindliche Bebauung und andere aus der topographischen Oberfläche herausragende Objekte. Es wird ein Verfahren zur automatischen Gebäudeerfassung aus DOM vorgestellt und die Eignung von DOM als Datengrundlage für die Gebäudeerfassung untersucht. Die alleinige Nutzung von DOM zur Gebäudeerfassung unter Verwendung parametrischer und prismatischer Gebäudemodelle stellt einen neuen Ansatz dar und ermöglicht den Einsatz von Sensoren, die bislang nicht zum Zweck der Gebäudeerfassung verwendet wurden, zB luftgestützte Laserabtaster. Die in der Literatur bekannten Verfahren zur Gebäudeerfassung setzen DOM oft ausschließlich zum Zweck der Gebäudedetektion ein. Das in ihrer Auswertung liegende Potential auch zur Gebäuderekonstruktion wird nur wenig ausgeschöpft. Als zusätzliche Datenquelle werden Geoinformationssysteme (GIS) genutzt, die i.a. nur zweidimensionale Information enthalten. Die verwendeten Objekt-, Sensor- und Datenmodelle werden vorgestellt und begründet, sowie die verfolgte Auswertestrategie und die Auswertemethoden dargestellt. Auswertestrategie und Objektmodelle besitzen Allgemeingültigkeit und werden auch in der einen oder anderen Form in anderen Verfahren zur Gebäudeerfassung genutzt. Die aus der Diskussion dieser Verfahren abgeleiteten Schlußfolgerungen finden ihren Niederschlag in dem entwickelten Verfahren. Das neue Verfahren umfaßt die Detektion und Rekonstruktion von Gebäuden auf der alleinigen Datengrundlage von DOM und -- falls verfügbar -- zusätzlichen GIS-Daten, sowie eine Änderungsdetektion zum Zwecke der GIS-Fortführung. Ein wesentlicher Bestandteil der Arbeit ist die qualitative und quantitative, auf der Grundlage von abgeleiteten und diskutierten Kenngrößen durchgeführte Bewertung der erzielten Ergebnisse. Ferner werden die Ergebnisse anhand von Referenzdaten mit denen anderer Verfahren verglichen. Die erzielten Ergebnisse zeigen die prinzipielle Eignung von DOM zur Gebäudeerfassung mit dem hier entwickelten Verfahren an. Einschränkungen hinsichtlich der alleinigen Nutzung von DOM und Probleme hinsichtlich der Modellierung werden diskutiert und Lösungsansätze aufgezeigt.

@inproceedings{Weidner1997Gebaudeerfassung,
  author = {Weidner, Uwe},
  title = {Geb\"audeerfassung aus Digitalen Oberfl\"achenmodellen},
  booktitle = {Deutsche Geod\"atische Kommission},
  year = {1997}
}

Uwe Weidner and Ansgar Brunn, "Discriminating Building and Vegetation Areas within Digital Surface Models" 1997.

[none]

@techreport{Weidner1997Discriminating,
  author = {Weidner, Uwe and Brunn, Ansgar},
  title = {Discriminating Building and Vegetation Areas within Digital Surface Models},
  year = {1997}
}

Uwe Weidner, "Roof Extraction from Digital Surface Models" 1997.

In this report we deal with roof extraction from Digital Surface Models (DSM) as a first step to integrate polyhedral building models into our approach to building extraction from DSM (Weidner and Förstner 1995, Weidner 1997a). Results are also presented in Weidner 1997b.

@techreport{Weidner1997Roof,
  author = {Weidner, Uwe},
  title = {Roof Extraction from Digital Surface Models},
  year = {1997}
}

1996

Uwe Weidner, "An Approach to Building Extraction from Digital Surface Models", In Proceedings of 18th ISPRS Congress. Vienna 1996.

Motivated by the test data sets of ISPRS WG III/3 on image understanding we investigate the feasibility of building extraction using high-resolution Digital Surface Models (DSM) as input data, which do not only contain information about the topographic surface like Digital Elevation Models (DEM), but also information about the buildings. The steps of the proposed procedure increasingly use explicit domain knowledge, specifically geometric constraints in the form of parametric and prismatic building models. The reconstruction of the prismatic models and the selection of the models are based on the principle of Minimum Description Length (MDL). In Weidner/Förstner (1995): Towards Automatic Building Reconstruction from High Resolution Digital Elevation Models we already described the general strategy of our approach, including building detection and building reconstruction. The main extensions of this contribution consists of the automatic selection of the model for the reconstruction of buildings. This selection is based on the principle of Minimum Description Length (MDL), as well as the reconstruction of prismatic building models. In addition, we also discuss the possible use of information from GIS or maps in our approach.

@inproceedings{Weidner1996Approach,
  author = {Weidner, Uwe},
  title = {An Approach to Building Extraction from Digital Surface Models},
  booktitle = {Proceedings of 18th ISPRS Congress},
  year = {1996}
}

Uwe Weidner, "MDL-basierte Formrekonstruktion zur Gebäudeextraktion", In Wissenschaftliche Jahrestagung der DGPF. 1996.

Dieses Papier ist die Zusammenfassung eines Vortrages während der wissenschaftlichen Jahrestagung der DGPF 1995 und beschreibt einen MDL-basierten Ansatz zur Rekonstruktion von Polygonen unter Nutzung lokaler und globaler Restriktionen.

@inproceedings{Weidner1996MDL,
  author = {Weidner, Uwe},
  title = {MDL-basierte Formrekonstruktion zur Geb\"audeextraktion},
  booktitle = {Wissenschaftliche Jahrestagung der DGPF},
  year = {1996}
}

Uwe Weidner, "Building Extraction from Digital Surface Models". Thesis at: Institute of Photogrammetry, University of Bonn. 1996.

During the last years the need for three-dimensional data describing urban areas increased. This data include building data, which in many cases are not available or do not fulfill the requirements of a special application. Due to these reasons, the capture and update of this data are necessary. Available techniques to solve these tasks are often expensive. Therefore, automization and thereby increasing the efficiency of data acquisition are required. The topic of the thesis is building extraction from Digital Surface Models (DSM). Such surface models do not only contain information about the topographic surface like Digital Elevation Models (DEM), but also about buildings and other objects higher than the topographic surface. An approach to automatic building extraction from DSM is presented and the suitability of DSM as input data for this purpose is investigated. The use of DSM for building extraction using parametric and prismatic building models as only input data is a new approach. It offers the possibility to use sensors like airborne laser scanners, which have not been used for the purpose of building data capture up to now. Previously published approaches dealing with building extraction often use DSM for building detection only. The inherent potential of DSM with respect to building reconstruction was explored only by a few authors, but either restricted to simple building models or by using digital images as additional and necessary input data. Besides DSM, GIS data is used in this approach as additional data source, which mostly contain only two-dimensional information. The object, sensor, and data models, which are used in this thesis, are discussed and motivated, and the strategy and methods for data exploitation are presented. The strategy and the object models - possibly in a modified form - are also used in other approaches to building extraction. Some of these approaches are discussed and the conclusions are reflected in the presented new approach. The new approach covers the detection and reconstruction of buildings using DSM as only input data. GIS data - if available - can be incorporated, allowing also change detection for the purpose of updating the GIS. The results of the different steps are evaluated qualitatively and quantitatively. The quality measures are derived and discussed. Furthermore, the results are compared to those of other approaches using reference data. The achieved results show that DSM is in principle suitable for building extraction using the described approach. Restrictions with respect to the only use of DSM and problems concerning the modelling are discussed and solutions are proposed.
Zusammenfassung
Gebäudedaten bilden einen wesentlichen Bestandteil der in den letzten Jahren mehr und mehr nachgefragten dreidimensionalen Daten digitaler Stadtmodelle. Solche Daten sind häufig nicht verfügbar oder genügen nicht den Anforderungen der jeweiligen Anwendung. Aus diesen Gründen sind oftmals eine Ersterfassung und Fortführung notwendig. Die Lösung beider Aufgaben ist mit den heute eingesetzten Verfahren i. a. mit einem hohen Aufwand verbunden, so dass eine Automation und hierdurch eine Minimierung des Aufwandes wünschenswert sind. Thema dieser Arbeit ist die Gebäudeerfassung aus Digitalen Oberflächenmodellen (DOM). Diese repräsentieren nicht nur Information über die topographische Oberfläche, wie Digitale Höhenmodelle (DHM), sondern auch Information über die in einem Gebiet befindliche Bebauung und andere aus der topographischen Oberfläche herausragende Objekte. Es wird ein Verfahren zur automatischen Gebäudeerfassung aus DOM vorgestellt und die Eignung von DOM als Datengrundlage für die Gebäudeerfassung untersucht. Die alleinige Nutzung von DOM zur Gebäudeerfassung unter Verwendung parametrischer und prismatischer Gebäudemodelle stellt einen neuen Ansatz dar und ermöglicht den Einsatz von Sensoren, die bislang nicht zum Zweck der Gebäudeerfassung verwendet wurden, z. B. luftgestützte Laserabtaster. Die in der Literatur bekannten Verfahren zur Gebäudeerfassung setzen DOM oft ausschließlich zum Zweck der Gebäudedetektion ein. Das in ihrer Auswertung liegende Potential auch zur Gebäuderekonstruktion wird nur wenig ausgeschöpft. Als zusätzliche Datenquelle werden Geoinformationssysteme (GIS) genutzt, die i. a. nur zweidimensionale Information enthalten. Die verwendeten Objekt-, Sensor- und Datenmodelle werden vorgestellt und begründet, sowie die verfolgte Auswertestrategie und die Auswertemethoden dargestellt. Auswertestrategie- und Objektmodelle besitzen Allgemeingültigkeit und werden auch in der einen oder anderen Form in anderen Verfahren zur Gebäudeerfassung genutzt. Die aus der Diskussion dieser Verfahren abgeleiteten Schlußfolgerungen finden ihren Niederschlag in dem entwickelten Verfahren. Das neue Verfahren umfaßt die Detektion und Rekonstruktion von Gebäuden auf der alleinigen Datengrundlage von DOM und - falls verfügbar - zusätzlichen GIS-Daten, sowie eine änderungsdetektion zum Zwecke der GIS-Fortführung. Ein wesentlicher Bestandteil der Arbeit ist die qualitative und quantitative, auf der Grundlage von abgeleiteten und diskutierten Kenngrößen durchgeführte Bewertung der erzielten Ergebnisse. Ferner werden die Ergebnisse anhand von Referenzdaten mit denen anderer Verfahren verglichen. Die erzielten Ergebnisse zeigen die prinzipielle Eignung von DOM zur Gebäudeerfassung mit dem hier entwickelten Verfahren an. Einschränkungen hinsichtlich der alleinigen Nutzung von DOM und Probleme hinsichtlich der Modellierung werden diskutiert und Lösungsansätze aufgezeigt.

@phdthesis{Weidner1996Building,
  author = {Weidner, Uwe},
  title = {Building Extraction from Digital Surface Models},
  school = {Institute of Photogrammetry, University of Bonn},
  year = {1996}
}

1995

Wolfgang Förstner and Uwe Weidner and Ansgar Brunn, "Model-based 2D-Shape Recovery", In Mustererkennung. Sagerer, G. (Eds.), pp. 260-268. 1995.

The paper presents a new approach for the reconstruction of polygons using local and global conctraints. The MDL-based solution is shown to be useful for analysing range and image data of buildings. Paper at 17th DAGM symposium '95, Bielefeld, September 13.-15.

@inproceedings{Forstner1995Model,
  author = {F\"orstner, Wolfgang and Weidner, Uwe and Brunn, Ansgar},
  editor = {Sagerer, G.},
  title = {Model-based 2D-Shape Recovery},
  booktitle = {Mustererkennung},
  year = {1995},
  pages = {260--268}
}

Wolfgang Förstner and Uwe Weidner, "Towards Automatic Building Reconstruction from High Resolution Digital Elevation Models", In ISPRS Journal., pp. 38-49. 1995.

The paper deals with an approach for extracting the 3D-shape of buildings from high resolution Digital Elevation Models (DEMs), having a grid resolution between 0.5 and 5m. The steps of the proposed procedure increasingly use explicit domain knowledge, specifically geometric constraints in the form of parametric and prismatic building models. A new MDL-based approach generating a polygonal ground plan from segment boundaries is given. The used knowledge is object related making adaption to data of different density and resolution simple and transparent.

@inproceedings{Forstner1995Towards,
  author = {F\"orstner, Wolfgang and Weidner, Uwe},
  title = {Towards Automatic Building Reconstruction from High Resolution Digital Elevation Models},
  booktitle = {ISPRS Journal},
  year = {1995},
  pages = {38--49}
}

Uwe Weidner, "Interpretation von Digitalen Höhenmodellen", In Talk at SFB Workshop Das Relief. 1995.

The paper is an abstract of a talk concerning topics related to the interpretation of Digital Elevation Models.

@inproceedings{Weidner1995Interpretation,
  author = {Weidner, Uwe},
  title = {Interpretation von Digitalen H\"ohenmodellen},
  booktitle = {Talk at SFB Workshop Das Relief},
  year = {1995}
}

Uwe Weidner, "Building Extraction from Digital Elevation Models" 1995.

Kurzdokumentation über die Handhabung des Programms bex.

@techreport{Weidner1995Building,
  author = {Weidner, Uwe},
  title = {Building Extraction from Digital Elevation Models},
  year = {1995}
}

Uwe Weidner, "Evaluation of Building Extraction from Digital Elevation Models" 1995.

The technical report describes the basics of our approach for building extraction using automatically derived Digital Elevation Models (DEMs), and the results for the ISPRS test data sets.

@techreport{Weidner1995Evaluation,
  author = {Weidner, Uwe},
  title = {Evaluation of Building Extraction from Digital Elevation Models},
  year = {1995}
}

Uwe Weidner, "A Metric for Comparing Symmetric Positive Definite Matrices" 1995.

The note proposes a metric for comparing symmetric positive definite matrices. Symmetric positive definite matrices can be interpreted as covariance matrices. The metric is shown to be invariant with respect to common affine transformations of the reference coordinate system of the covariance matrices and to inversions of the matrices, thus also measures the distance between the corresponding weight matrices.

@techreport{Weidner1995Metric,
  author = {Weidner, Uwe},
  title = {A Metric for Comparing Symmetric Positive Definite Matrices},
  year = {1995}
}

1994

Uwe Weidner, "Information-Preserving Surface Restoration And Feature Extraction For Digital Elevation Models", In Proceedings of ISPRS Comm. III Symposium on Spatial Information from Digital Photogrammetry and Computer Vision. München, Germany 1994.

Pre-processing such as filtering data in order to remove or at least reduce noise is a crucial step because information which is lost during this filtering cannot be recovered in subsequent steps. It is a well-known fact, that linear filtering does not only reduce noise, but may also lead to a loss of information due to the global smoothing, regardless of structures in the data. In order to overcome these drawbacks, we propose to use an algorithm for parameterfree information-preserving surface restoration. As we do not want to evaluate the results of the filtering only qualitatively by visual inspection, we examine the influence of pre-processing on feature extraction for digital elevation models and discuss quantities for the evaluation of these influences.

@inproceedings{Weidner1994Information,
  author = {Weidner, Uwe},
  title = {Information-Preserving Surface Restoration And Feature Extraction For Digital Elevation Models},
  booktitle = {Proceedings of ISPRS Comm. III Symposium on Spatial Information from Digital Photogrammetry and Computer Vision},
  year = {1994},
  doi = {10.1117/12.182917}
}

Uwe Weidner, "Parameterfree Information-Preserving Surface Restoration", In Computer Vision ECCV. Eklundh, Jan-Olof (Eds.) 1994.

In this paper we present an algorithm for parameterfree information-preserving surface restoration. The algorithm is designed for 2.5D and 3D surfaces. The basic idea is to extract noise and signal properties of the data simultaneously by variance-component estimation and use this information for filtering. The variance-component estimation delivers information on how to weigh the influence of the data dependent term and the stabilizing term in regularization techniques, and therefore no parameter which controls this relation has to be set by the user.
The paper is the original contribution for ECCV'94 (7 pages) as it is published by Springer.

@inproceedings{Weidner1994Parameterfree,
  author = {Weidner, Uwe},
  editor = {Eklundh, Jan-Olof},
  title = {Parameterfree Information-Preserving Surface Restoration},
  booktitle = {Computer Vision ECCV},
  year = {1994},
  doi = {10.1007/BFb0028355}
}

Uwe Weidner, "GEO - Algorithmen der Digitalen Bildverarbeitung" 1994.

Kurzdokumentation über die Handhabung des Programms geo. Weitergehende Informationen können aus Best (1990) und Bevacqua/Floris (1987) entnommen werden.

@techreport{Weidner1994GEO,
  author = {Weidner, Uwe},
  title = {GEO - Algorithmen der Digitalen Bildverarbeitung},
  year = {1994}
}

Uwe Weidner, "GRINV - Gradient Inverse Weighted Smoothing" 1994.

Kurzdokumentation über die Handhabung des Programms grinv. Weitergehende Informationen können aus Wang et al. (1981) entnommen werden.

@techreport{Weidner1994GRINV,
  author = {Weidner, Uwe},
  title = {GRINV - Gradient Inverse Weighted Smoothing},
  year = {1994}
}

Uwe Weidner, "REKO - Bildrekonstruktion mittels informationserhaltender Filterung" 1994.

Kurzdokumentation über die Handhabung des Programms reko. Weitergehende Informationen können aus Weidner (1991) entnommen werden.

@techreport{Weidner1994REKO,
  author = {Weidner, Uwe},
  title = {REKO - Bildrekonstruktion mittels informationserhaltender Filterung},
  year = {1994}
}

Uwe Weidner, "VISTRI - Visualisierung von Flächen" 1994.

Kurzdokumentation über die Handhabung des Programms vistri.

@techreport{Weidner1994VISTRI,
  author = {Weidner, Uwe},
  title = {VISTRI - Visualisierung von Fl\"achen},
  year = {1994}
}

1993

Uwe Weidner, "Krümmungsmaße" 1993.

Dieses Arbeitspapier stellt differentialgeometrische Grundlagen in Tensorschreibweise dar und zeigt Möglichkeiten zur Berechnung von Krümmungsmaßen für durch diskrete Punkte gegebene Flächen auf. Weiterhin werden Möglichkeiten zur Segmentierung von Flächen auf der Basis dieser Krümmungsmaße diskutiert.

@techreport{Weidner1993Krummungsmae,
  author = {Weidner, Uwe},
  title = {Kr\"ummungsma{\ss}e},
  year = {1993}
}

1990

Uwe Weidner, "Entwicklung eines Verfahrens zur informationserhaltenen Filterung digitaler Bilder". Thesis at: Institute of Photogrammetry, University of Bonn. 1990.

[none]

@mastersthesis{Weidner1990Entwicklung,
  author = {Weidner, Uwe},
  title = {Entwicklung eines Verfahrens zur informationserhaltenen Filterung digitaler Bilder},
  school = {Institute of Photogrammetry, University of Bonn},
  year = {1990},
  note = {Betreuung: Prof. Dr.-Ing. Wolfgang F\"orstner, Dipl.-Ing. C. Peters}
}

Data Sets

Digital Elevation Model for SFB 350; see also my private pages
Digital Surface Models

for results of building extraction from DSM see also BEX demo page

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