TY - CHAP A1 - Brunn, Ansgar A1 - Ranzau, Michael T1 - Detailverbesserung von 3D-Laserscannermessungen durch hoch aufgelöste digitale Bilder am Beispiel von Freileitungsgittermasten T2 - DGPF-Tagung N2 - 3D-Laserscanning und Nahbereichsphotogrammetrie lassen sich in vielen Anwendungsgebieten kombiniert einsetzen. Aktuell überwiegen Verfahren zur Texturierung und zur Genauigkeitssteigerung der Laserpunktwolke durch unterstützende photogrammetrische Aufnahmen. Dieser Artikel beschreibt und bewertet eine neue Kombinationsmöglichkeit der beiden 3D-Messverfahren Photogrammetrie und 3D-Laserscanning, um die in großer Entfernung stark verrauschten Laserscanpunktwolken mittels photogrammetrischer Methoden drei-dimensional geometrisch zu verdichten. Möglich wird dies durch die in den photogrammetrischen Daten hohen, skalierbaren Pixelauflösungen am Objekt. Gut sichtbare Objektelemente werden dabei als Passpunkte zwischen den beiden Messsystemen verwendet und dienen der Maßstabsübertragung und der Lösung der Bildorientierung. Erreicht werden Streckenmessgenauigkeiten am Objekt von unter 2mm bei einer Objektentfernung von bis zu 100m. Das Verfahren wurde zur Messung hoher Industriebauten entwickelt und wird anhand eines Freileitungsgittermasts vorgestellt. Y1 - 2015 UR - http://bvg.fhws.de/fileadmin/FKV/v/studiengang/brunn/21_DGPF2015_Ranzau_Brunn.pdf CY - Köln ER - TY - CHAP A1 - Brunn, Ansgar A1 - Hastedt, Heidi T1 - Untersuchung der Fujifilm Real 3D Stereokameras für den photogrammetrischen Einsatz T2 - Oldenburger 3D-Tage 2011 N2 - Mit der Real 3D W1 und der Real 3D W3 Kamera hat Fujifilm in kurzer Folge zwei digita-le Stereokameras auf den Markt gebracht, die seit gut einem Jahr verfügbar und dem Ama-teurbereich zuzuordnen sind. In diesem Beitrag werden die beiden Digitalkameras in Hin-blick auf ihre photogrammetrischen Einsatzmöglichkeiten untersucht. Hohe Bedeutung zur Beurteilung der Verwendbarkeit hat die Geometrie der Optik der Kamera, insbesondere auch der Stabilität derselben. Die Innere und die Relative Orientierung sowie die Synchro-nisation beider Optiken werden bestimmt und bewertet. Y1 - 2011 UR - https://www.researchgate.net/publication/263200404_Untersuchungen_der_Fujifilm_Real_3D_Stereokameras_fur_den_photogrammetrischen_Einsatz ER - TY - CHAP A1 - Brunn, Ansgar A1 - Wenzel, Daniela T1 - Landmanagement im Studiengang Vermessung und Geoinformatik an der Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt (Deutschland) T2 - Sammelband der Akademie Iwanowo 04/2013 Y1 - 2013 IS - 4 ER - TY - CHAP A1 - Brunn, Ansgar A1 - Drauschke, Martin A1 - Förstner, Wolfgang ED - Seyfert, Eckhardt T1 - Multidodging: Ein effizienter Algorithmus zur automatischen Verbesserung von digitalisierten Luftbilder T2 - Publikationen der DGPF, Band 18: Zukunft mit Tradition Y1 - 2009 IS - 18 SP - 61 EP - 68 CY - Jena ER - TY - JOUR A1 - Manko, Pavlo A1 - Brunn, Ansgar A1 - Melnyk, Oleksandr T1 - Remote sensing methods for estimating tree species of forests in the Volyn region, Ukraine JF - Frontiers in Forests and Global Change N2 - Forest classification is needed to solve a wide range of environmental issues related to of forest classes and succession processes, the extent of afforestation and deforestation and global environmental change. These applications require a very accurate mapping and monitoring of forest types. This article investigates the combination of modern open geographic information systems and remote sensing data in forest management tasks for a specific part of the Ukrainian state area. Based on the existing afforestation plans, the results of the unsupervised classification of Sentinel-2 images and the selection of forest species fragments with closed crowns as training data for supervised classification, classifiers of forest species of the study object were developed with and without taking into account age groups. A supervised classification of research objects is realized and the accuracy of the obtained results is evaluated. It is established that the accuracy of determining forest species on the basis of the proposed method is 90.3 and 91.4%, taking into account age groups and without taking them into account, respectively. Thus, it is found that the modeling of the age groups does not improve the classification result for the test area. KW - remote sensing KW - tree species KW - supervised classification Y1 - 2023 UR - https://doi.org/10.3389/ffgc.2023.1041882 SN - 2624-893X VL - 6 ER - TY - JOUR A1 - Brunn, Ansgar A1 - Luxen, Marc T1 - Parameterschätzung auf unvollständigen Beobachtungsdaten mittels des EM-Algorithmus JF - Zeitschrift für Geodäsie, Geoinformation und Landmanagement (ZfV) Y1 - 2003 UR - http://permalink.bibkatalog.de/BV040134911 ER - TY - CHAP A1 - Brunn, Ansgar A1 - Wörler, Jan A1 - Ruppert, Markus ED - Ruppert, Markus ED - Wörler, Jan T1 - SketchUP BT - Modellieren im virtuellen Raum T2 - Technologien im Mathematikunterricht - Eine Sammlung von Trends und Ideen Y1 - 2013 SN - 978-3-658-03007-0 SP - 135 EP - 156 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Brunn, Ansgar A1 - Hugemann, Wolfgang ED - Hugemann, Wolfgang T1 - Fotogrammetrie T2 - Unfallrekonstruktion, autorenteam GbR Y1 - 2007 UR - http://www.unfallrekonstruktion.eu/ PB - Selbstverlag CY - Münster ER - TY - CHAP A1 - Brunn, Ansgar A1 - Kiefer, G. T1 - Untersuchungen der Variation der Parameter der inneren Orientierung von NIKON Spiegelreflexkameras T2 - Oldenburger 3D-Tage 2012 Y1 - 2012 ER - TY - CHAP A1 - Brunn, Ansgar A1 - Ranzau, Michael T1 - Photogrammetrische Rekonstruktion von Freileitungsgittermasten T2 - Oldenburger 3D-Tage 2013 Y1 - 2014 PB - Wichmann-Verlag ER - TY - CHAP A1 - Brunn, Ansgar T1 - Statistical interpretation of DEM and image data for building extraction T2 - Automatic Extraction of Man-Made Objects From Aerial and Space Images (III) Y1 - 2001 SP - 171 EP - 180 PB - A.A. Balkema ER - TY - JOUR A1 - Brunn, Ansgar A1 - Ranzau, Michael T1 - Color-Multidodging von digitalen Bildern JF - VDV Magazin - Zeitschrift für Geodäsie und Geoinformatik Y1 - 2011 IS - 5 SP - 360 EP - 363 PB - Chmielorz GmbH CY - Wiesbaden ER - TY - CHAP A1 - Brunn, Ansgar A1 - Weidner, Uwe T1 - Extracting Buildings from Digital Surface Models T2 - IAPRS 3D Reconstruction and Modeling of Topographic Objects Y1 - 1997 VL - 32 IS - 3-4W2 CY - Stuttgart ER - TY - CHAP A1 - Brunn, Ansgar T1 - Statistische Detektion von Gebäuden in multisensoriellen Daten T2 - 21. DGPF Jahrestagung Y1 - 2001 SP - 265 EP - 272 CY - Konstanz ER - TY - CHAP A1 - Brunn, Ansgar T1 - Techniques for automatic building extraction T2 - 3rd Course in Digital Photogrammetry Y1 - 1998 CY - Bonn ER - TY - JOUR A1 - Knöttner, Julia A1 - Rosenbaum, Dominik A1 - Kurz, Franz A1 - Brunn, Ansgar A1 - Reinartz, Peter T1 - Rule-Based Mapping of Parked Vehicles using Aerial Image Sequences JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences N2 - Mapping of parking spaces in cities is a prerequisite for future applications in parking space management like community-based parking. Although terrestrial or vehicle based sensors will be the favorite data source for parking space mapping, airborne monitoring can play a role in building up city wide basis maps which include also parking spaces on ancillary and suburban roads. We present a novel framework for automatic city wide classification of vehicles in moving, stopped and parked using aerial image sequences and information from a road database. The time span of observation of a specific vehicle during an image sequence is usually not long enough to decide unambiguously, whether a vehicle stopped e.g. before a traffic light or is parking along the road. Thus, the workflow includes a vehicle detection and tracking method as well as a rule-based fuzzy-logic workflow for the classification of vehicles. The workflow classifies stopped and parked vehicles by including the neighbourhood of each vehicle via a Delaunay-Graph. The presented method reaches correctness values of around 86.3%, which is demonstrated using three different aerial image sequences. The results depend on several factors like detection quality and road database accuracy. KW - Aerial Image Sequences KW - Vehicle Detection KW - Vehicle Tracking KW - Parking Space Mapping KW - Fuzzy Logic Y1 - 2019 U6 - https://doi.org/doi.org/10.5194/isprs-annals-IV-2-W7-95-2019 VL - IV-2/W7 SP - 95 EP - 101 ER - TY - JOUR A1 - Meyer, Theresa A1 - Brunn, Ansgar A1 - Stilla, Uwe T1 - Geometric BIM verification of indoor construction sites by photogrammetric point clouds and evidence theory JF - ISPRS Journal of Photogrammetry and Remote Sensing N2 - Photogrammetric point clouds offer immense potential for various applications, especially for the AEC industry and ”as-built” BIM. However, despite many advantages such as time and cost efficiency, image based point clouds of indoor environments mostly suffer from inhomogeneous and strongly fluctuating point-wise uncertainties. This lack of area-filling geometric reliability represents a strong barrier for innovations and further development of image based applications for as-built BIM, regarding both software and hardware. Therefore, this paper presents a method for the geometric verification of indoor BIMs by images and uncertainty management in order to unleash the potential of photogrammetry in context of professional building documentation heading towards ”digital twinning”. Individual 3D point accuracies, object’s surface characteristics and BIM related uncertainties according to the Level of Accuracy (LOA) specification are assessed and taken into account. The final decision of whether or not a photogrammetric point cloud confirms a given model within its associated level of accuracy results from a combined reasoning pipeline based on Dempster–Shafer evidence theory. The novel Pho-to-BIM verification method is demonstrated on three real indoor construction sites, each 3D mapped with different image sensors. Based on the experiments it is shown how to set up belief functions for evidence based reasoning individually, depending on the measurement and site characteristics. Y1 - 2023 VL - 195 SP - 432 EP - 445 ER - TY - CHAP A1 - Brunn, Ansgar T1 - A Step towards semantic-based building reconstruction using Markov-random-fields T2 - IAPRS, ISPRS Congress N2 - In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With this linkage we want to enhance the reconstruction result and to yield semantic information about the buildings. We introduce building models based on their topology. We also may use data from different sensor types. The analysis is done locally using statistical building information for the interpretation in a Markov-Random-Field and using e. g. geometric or radiometric “appearance” models for the reconstruction. A real data example from laserscanner observations demonstrates the approach. N2 - In diesem Artikel beschreiben wir ein neues Verfahren zur Rekonstruktion von Gebäuden. Im Gegensatz zu den meisten in der Literatur bereits veröffentlichen Verfahren, verbinden wir die Rekonstruktion mit der Interpretation. Dadurch verbessern wir das Ergebnis der Rekonstruktion und erhalten zusätzlich semantische Information über das Gebäude. Wir verwenden ein Gebäudemodell, das auf der Topologie der Gebäude definiert ist. Außerdem ist die Integration von Daten unterschiedlicher Sensortypen möglich. Die Analyse der Daten erfolgt bei der Interpretation mit lokalem statistischen Gebäudewissen und bei der Rekonstruktion mit lokalen Modellen der “Erscheinungsform” der Gebäude (z. B. geometrisch oder radiometrisch). Ein Beispiel mit realen Entfernungsdaten demonstriert den Ansatz. Y1 - 2000 UR - https://www.ipb.uni-bonn.de/pdfs/Brunn2000step.pdf VL - 32 IS - B CY - Amsterdam ER - TY - JOUR A1 - Brodovskii, Maksim A1 - Korovin, Dmitrii A1 - Chizhova, Maria A1 - Brunn, Ansgar A1 - Stilla, Uwe T1 - Recognizing Separate Structural Elements of Churches Using Neural Network JF - Dreiländertagung der DGPF, der OVG und der SGPF in Bern, Schweiz – Publikationen der DGPF N2 - In this paper we develop a new approach to recognize structural elements of orthodox churches. We will work with 3D point clouds, received as a result of 3D point cloud acquisitions of churches, e.g. from laser scanning. Because of the large amount of points in such clouds, we have to use a projection (elevation) to decrease the calculation effort. To get meaningful images from the projection of the point cloud we do some prior segmentation of the 3D cloud. Images binary, with a predefined resolution that depends on the resolution of the 3D point cloud. To recognize elements we decide to use neural networks (Perceptron and Counter propagation neural networks) as they allow the automation of the process and have a broad range of methods to recognize images. For the subsequent 3D modeling we use analytic expressions, that describe each of the structural church elements. A further step is the deduction of those expressions that describe each of the recognized sectional views Y1 - 2016 UR - http://www.dgpf.de/src/tagung/jt2016/proceedings/papers/15_DLT2016_Brodovskii_et_al.pdf ER - TY - CHAP A1 - Meyer, Theresa A1 - Brunn, Ansgar T1 - Digitale Photogrammetrie und Bildverarbeitung für kleine und mittlere Unternehmen durch "Blended Learning" T2 - Dreiländer-Tagung 2016, Bern N2 - Um Unternehmen bei der Integration aktuell stark im Fokus stehender, berührungsloser Messverfahren zu unterstützen, wird in einem Projekt der Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt (FHWS), das hybride Bildungskonzept „Blended Learning“ verfolgt. Ziel ist es, den Teilnehmern grundlegende Fachkenntnisse in digitaler Photogrammetrie und Bildverarbeitung zu vermitteln. Die Lehr- und Lernstrategien beruhen dabei auf einer Kombination von multimedialen online Lerneinheiten und „klassischen“ Präsenzveranstaltungen, weshalb sie sich besonders für eine Zielgruppe im täglichen Arbeitsleben eignen. Eine stetig wachsende Projektteilnehmerzahl und deren stets große Beteiligung an den Aktivitäten im Projekt, zeigen bisher eine positive Resonanz auf das spezielle Informationsangebot. Y1 - 2016 UR - http://www.dgpf.de/src/tagung/jt2016/proceedings/papers/41_DLT2016_Meyer_Brunn.pdf ER - TY - JOUR A1 - Brunn, Ansgar A1 - Meyer, Theresa T1 - Calibration of a Multi-Camera Rover JF - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences N2 - Multi-Camera-Rover are recently coming up for usual terrestrical surveying tasks. This technique is new for the surveyors. Although photogrammetric specialists realize the benefits of such systems immediately, surveyors have difficulties to find efficient usages. To approach this new measurement systems the technique has to be understood and the confidence on the accuray has to grow. In this paper we analyze the accuracy of a Multi-Camera-Rover using an indoor testfield by photogrammetric algorithms. The results show that the knowledge of the interior orientation parameter of the cameras and the relative orientation of the cameras is essential for precise geometric reconstructions. Knowing these additional data, high accurate results become possible. Y1 - 2016 U6 - https://doi.org/10.5194/isprs-archives-XLI-B5-445-2016 SP - 445 EP - 452 ER - TY - CHAP A1 - Brunn, Ansgar A1 - Lang, Felicitias A1 - Gülch, Eberhard A1 - Förstner, Wolfgang T1 - A Multi-Layer Strategy for 3D Building Aquisition T2 - Proceedings of the IAPR-TC7 Workshop 1996 in Graz N2 - In various projects we investigate on the extraction of buildings on di erent type and representation of data. This paper presents a strategy for 3D building acquisition which combines different approaches based on di erent levels of description. The approach consists of detectionofregions of interest and automatic and semiautomatic reconstruction of object parts and complete buildings. We incorporate the approach in a global concept of interaction between scene and sensors for image interpretation. Y1 - 1997 UR - https://www.researchgate.net/publication/301548836_A_multi-layer_strategy_for_3D_building_acquisition SP - 11 EP - 37 PB - Oldenbourg Verlag CY - Graz ER -