Publikationen


Suche nach „[P.] [Hofmann]“ hat 17 Publikationen gefunden
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    DigitalMobilS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    M. Novàk, J. Geyer, M. Prokýšek, M. Hais, S. Gril, M. Davidková, P. Doležal, Peter Hofmann, Rajan Paudyal

    Construction of a Multisensor UAV System for Early Detection of Forest Pests

    Advances in Intelligent Systems and Computing V, Cham, Switzerland, vol. 1293

    2020

    ISBN: 978-3-030-63270-0

    DigitalS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    M. Novàk, M. Prokýšek, P. Doležal, M. Hais, S. Gril, M. Davídková, J. Geyer, Peter Hofmann, Rajan Paudyal

    Multisensor UAV System for the Forest Monitoring

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    DOI: 10.1109/ACIT49673.2020.9208993

    Abstract anzeigen

    In recent years, unmanned aerial vehicles (UAV) of various shapes, sizes and functions have been increasingly used for civilian applications in a wide range of fields. UAVs are flexible, inexpensive, with the ability to carry high resolution sensing systems. UAVs fill the gap between manned aircraft and satellite remote sensing systems. When searching for new methodologies, especially in forestry research, UAVs are a unique platform. Remote forest sensing, forest mapping, forest precise measurement, forest fire monitoring and support for intensive forest management are areas in which remote sensing is fully utilized. The advantages of remote sensing are mainly low material and operating costs, flexible space and time deployment, and high intensity data collection. In order to move remote sensing applications from the experimental phase into real deployment, it is necessary to come up with new methodologies that can be determined using UAVs.

    DigitalF: Maschinenbau und MechatronikI: Fraunhofer AWZ CTMT

    Zeitschriftenartikel

    A. Detterbeck, M. Hofmeister, D. Haddad, D. Weber, M. Schmid, A. Hölzing, S. Zabler, E. Hofmann, K.-H. Hiller, P. Jakob, J. Engel, Jochen Hiller, U. Hirschenfelder

    Determination of the mesio-distal tooth width via 3D imaging techniques with and without ionizing radiation: CBCT, MSCT, and μCT versus MRI

    European Journal of Orthodontics, vol. 39, no. 3, pp. 310-319

    2016

    DOI: 10.1093/ejo/cjw047

    Abstract anzeigen

    Objective: The purpose of this study was to estimate the feasibility and accuracy of mesio-distal width measurements with magnetic resonance imaging (MRI) in comparison to conventional 3D imaging techniques [multi-slice CT (MSCT), cone-beam CT (CBCT), and µCT]. The measured values of the tooth widths were compared to each other to estimate the amount of radiation necessary to enable orthodontic diagnostics. Material and Methods: Two pig skulls were measured with MSCT, CBCT, µCT, and MRI. Three different judges were asked to determine the mesio-distal tooth width of 14 teeth in 2D tomographic images and in 3D segmented images via a virtual ruler in every imaging dataset. Results: Approximately 19% (27/140) of all test points in 2D tomographic slice images and 12% (17/140) of the test points in 3D segmented images showed a significant difference (P ≤ 0.05). The largest significant difference was 1.6mm (P < 0.001). There were fewer significant differences in the measurement of the tooth germs than in erupted teeth. Conclusions: Measurement of tooth width by MRI seems to be clinically equivalent to the conventional techniques (CBCT and MSCT). Tooth germs are better illustrated than erupted teeth on MRI. Three-dimensional segmented images offer only a slight advantage over 2D tomographic slice images. MRI, which avoids radiation, is particularly appealing in adolescents if these data can be corroborated in further studies.

    DigitalS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Peter Hofmann, V. Andrejchenko, P. Lettmayer, M. Schmitzberger, M. Gruber, I. Ozan, M. Belgiu, R. Graf, T. Lampoltshammer, S. Wegenkittl

    Agent based image analysis (ABIA)-preliminary research results from an implemented framework

    Proceedings of GEOBIA 2016: Solutions and Synergies (Enschede, Netherlands; September 14-16, 2016)

    2016

    DigitalS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    G.A.O.P. Costa, Peter Hofmann, P. Happ, R. Feitosa

    An object-based meta knowledge model for a distributed image interpretation system

    Proceedings of GEOBIA 2016: Solutions and Synergies (Enschede, Netherlands; September 14-16, 2016)

    2016

    DigitalS: TC Freyung

    Zeitschriftenartikel

    R. Marschallinger, P. Schmidt, Peter Hofmann, C. Zimmer, P. Atkinson, J. Sellner, E. Trinka, M. Mühlau

    A MS-lesion pattern discrimination plot based on geostatistics

    Brain and Behaviour, vol. 6, no. 3

    2016

    DigitalS: TC Freyung

    Zeitschriftenartikel

    Peter Hofmann, P. Lettmayer, T. Blaschke, M. Belgiu, S. Wegenkittl, R. Graf, T. Lampoltshammer, V. Andrejchenko

    Towards a framework for agent-based image analysis of remote-sensing data

    International Journal of Image and Data Fusion, vol. 6, no. 2, pp. 115-137

    2015

    DOI: 10.1080/19479832.2015.1015459

    Abstract anzeigen

    Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image data has in many cases led to spatially and thematically improved classification results in comparison to pixel-based approaches. Nevertheless, robust and transferable object-based solutions for automated image analysis capable of analysing sets of images or even large image archives without any human interaction are still rare. A major reason for this lack of robustness and transferability is the high complexity of image contents: Especially in very high resolution (VHR) remote-sensing data with varying imaging conditions or sensor characteristics, the variability of the objects’ properties in these varying images is hardly predictable. The work described in this article builds on so-called rule sets. While earlier work has demonstrated that OBIA rule sets bear a high potential of transferability, they need to be adapted manually, or classification results need to be adjusted manually in a post-processing step. In order to automate these adaptation and adjustment procedures, we investigate the coupling, extension and integration of OBIA with the agent-based paradigm, which is exhaustively investigated in software engineering. The aims of such integration are (a) autonomously adapting rule sets and (b) image objects that can adopt and adjust themselves according to different imaging conditions and sensor characteristics. This article focuses on self-adapting image objects and therefore introduces a framework for agent-based image analysis (ABIA).

    S: TC Freyung

    Zeitschriftenartikel

    Peter Hofmann, P. Lettmayer, T. Blaschke, M. Belgiu, S. Wegenkittl, R. Graf, T. Lampoltshammer, V. Andrejchenko

    ABIA – A Conceptual Framework for Agent Based Image Analysis

    South-Eastern European Journal of Earth Observation and Geomatics, vol. 3, no. 2S, pp. 125-130

    2014

    S: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    G. Atay, J. Wegner, P. Lohmann, Peter Hofmann, U. Sörgel

    Comparison of pixel based and feature based fusion of high resolution optical and SAR imagery

    Remote sensing for a changing Europe (Proceedings of the 28th EARSeL Symposium of the Association of Remote Sensing Laboratories [Istanbul, Turkey; 2-5 June 2008]), Turkey

    2009

    ISBN: 978-1-58603-986-8

    F: Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    P. Hofmann, R. Marschallinger, G. Daxner-Höck

    3D volume modelling of fossil small mammal teeth using micro CT and object based image analysis

    Computational vision and medical image processing, VipIMAGE 2009, London

    2009

    ISBN: 9780415570411

    S: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Peter Hofmann, P. Lohmann, S. Müller

    Change Detection by Object-Based Change Indications

    Proceedings of the 4th EARSeL Workshop on Remote Sensing for Developing Countries in Conjunction with GISDECO (June 4-7, 2008; Istanbul, Turkey]

    2008

    S: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    C. Heipke, Peter Hofmann, P. Lohmann, S. Müller

    Concepts of an Object-Based Change Detection Process Chain for GIS Update

    Proceedings of the XXIst ISPRS Congress (July 3-11, 2008; Beijing, China)

    2008

    S: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    P. Lohmann, Peter Hofmann, S. Müller

    Updating GIS by object-based change detection

    Geoinformatics Paves the Highway to Digital Earth, vol. 8

    2008

    S: TC Freyung

    Zeitschriftenartikel

    O. Buescher, O. Buck, P. Lohmann, Peter Hofmann, S. Mueller, R. Schenkel, C. Weise

    Change Detection for Updating DeCOVER Object Classes

    Photogrammetrie, Fernerkundung, Geoinformation (PFG), no. 5, pp. 395-407

    2008

    S: TC Freyung

    Zeitschriftenartikel

    Peter Hofmann, P. Lohmann, S. Müller

    Concepts of an object-based change detection process chain for GIS update

    International Archives of Photogrammetry and Remote Sensing, vol. 37, pp. 305-312

    2008

    F: Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    P. Hofmann, J. Strobl, T. Blaschke

    A method for adapting global image segmentation methods to images of different resolutions

    Proceedings of the Second International Conference on Geographic Object-Based Image Analysis 2008 (GEOBIA 2008 - Pixels, Objects, Intelligence; University of Calgary, Calgary, AB, Canada; August 4-7, 2008)

    2008

    F: Elektrotechnik und Medientechnik

    Zeitschriftenartikel

    P. Hofmann, P. Lohmann

    A Strategy for Quality Assurance of Land-Cover/Land-Use Interpretation Results with Faulty or Obsolete Reference Data

    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (IntArchPhRS) XXXVI, no. Band 1/W51

    2007