Mr. Tilman U. Bucher Profile

Tilman U. Bucher

Researcher at Deutsches Zentrum für Luft- und Raumfahrt eV

SPIE Involvement:

Author

Proceedings Article | 28 October 2022 Presentation + Paper

Deep learning based windthrow detection for winter storms

Nishant Jaiswal, Tilman Bucher, Jürgen Seiler, Philip Beckschäfer, Protim Bhattacharjee

Proceedings Volume 12262, 122620V (2022) https://doi.org/10.1117/12.2638429

KEYWORDS: RGB color model, Image segmentation, Data modeling, Computer programming, Spatial resolution, Satellites, Image processing, Satellite imaging, Image resolution, Convolution

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Proceedings Article | 24 October 2013 Paper

Derivation of urban objects and their attributes for large-scale urban areas based on very high resolution UltraCam true orthophotos and nDSM: a case study Berlin, Germany

Anna Maria Poznanska, Steven Bayer, Tilman Bucher

Proceedings Volume 8893, 889303 (2013) https://doi.org/10.1117/12.2030000

KEYWORDS: Vegetation, Statistical analysis, Data modeling, Data centers, Databases, Climatology, Visualization, Bismuth, Orthophoto maps, Sensors

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The development of automatic extraction methods for urban building and vegetation objects and the realization on a large urban data set have been accomplished within the project ‘Derivation of Building- and Vegetation Heights and Structures in Berlin’. This project was executed on behalf of the Senate Department for Urban Development and Environment of the City of Berlin. As input an UltraCamX dataset consisting of the true ortho mosaic with four spectral channels and the normalized digital surface model (nDSM) with 30 cm resolution were used. The size of the area adds up to about 450 km². For the delineation of roof tiles additional slope and aspect layers were created.

The workflow was developed in eCognition for automatic extraction of elevated urban objects and their height structures. Additionally we used focal statistics in ArcGIS to extend the workflow for the extraction of single tree crowns, since detailed information about the correct position and number of urban trees is relevant and completes the urban geo database. In this way a unique, complete and extensive workflow for an automatic urban objects extraction arises. Within the project methods for robust extraction of buildings with roof tiles as well as vegetation were applied. Greened roofs are automatically extracted and assigned to the class buildings. Furthermore building tiles which are located under trees are extracted by the intersection with the cadastral building data. For the transferability of the complete rule set a multi-layered workflow consisting of automated data import and export, iterating segmentation methods and fuzzy classification as well as object reshaping was developed and applied. The methods are transferable and effectively operate on large data sets.

As results complete layers with building and vegetation shapes including single tree tops and crown outlines with comprehensive attributes like height and area are derived. The accuracies are in the range of 85% (trees) to 95 % (buildings). The shapes primarily serve as input for a complex urban-specific climate model, which also takes the morphology of hinterlands into account. In addition this data can be used as a basis for a variety of urban planning tasks e.g. for modeling of noise pollution, estimation of urban structure types, for town- or green space planning. They are a suitable basis for supplementing and upgrading of the official cadastral database, even though certain restrictions concerning the accuracies exist. Furthermore the object shapes are suitable for visualization tasks.

Proceedings Article | 25 October 2010 Paper

Possibilities and constraints in the use of very high spatial resolution UltraCamX airborne imagery and digital surface models for classification in densely built-up areas: a case study of Berlin

Corinna Brüsshaber, Anna Maria Trosset, Tilman Bucher

Proceedings Volume 7831, 783115 (2010) https://doi.org/10.1117/12.865826

KEYWORDS: Buildings, Classification systems, Vegetation, Image classification, Feature extraction, Airborne remote sensing, Image resolution, Remote sensing, Image segmentation, Spatial resolution

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Proceedings Article | 7 October 2009 Paper

A modular, interactive software-concept for radiometric and geometric correction of airborne and spaceborne linescanner images

Jürgen Wohlfeil, Tilman Bucher

Proceedings Volume 7478, 74781E (2009) https://doi.org/10.1117/12.830584

KEYWORDS: Cameras, Sensors, Radiometric corrections, RGB color model, Calibration, Atmospheric corrections, Interfaces, Atmospheric modeling, Image processing, Data modeling

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Proceedings Article | 7 October 2009 Paper

Adaptation of building extraction rule sets derived from MFC3 and UltraCamD arial image data sets

A. Trosset, T. Bucher, F. Lehmann

Proceedings Volume 7478, 74782U (2009) https://doi.org/10.1117/12.830662

KEYWORDS: Spatial resolution, Sensors, Image segmentation, Image processing, Data modeling, Image resolution, Geographic information systems, Cameras, Feature extraction, Vegetation

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Proceedings Article | 7 October 2009 Paper

Airborne camera and spectrometer experiments and data evaluation

F. Lehmann, T. Bucher, S. Pless, J. Wohlfeil, H. Hirschmüller

Proceedings Volume 7478, 74781D (2009) https://doi.org/10.1117/12.830722

KEYWORDS: Sensors, RGB color model, Data modeling, Cameras, Imaging systems, 3D modeling, Systems modeling, Data acquisition, Data fusion, Data processing

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Proceedings Article | 29 October 2007 Paper

Atmospheric correction of HRSC-AX line scanner data using the dark-pixel-profile (dpp) method: a summary after two years

Tilman Bucher

Proceedings Volume 6749, 67491E (2007) https://doi.org/10.1117/12.738280

KEYWORDS: Atmospheric corrections, Scattering, Image quality, Atmospheric optics, Calibration, Sensors, Scanners, Atmospheric particles, Image sensors, Atmospheric monitoring

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Proceedings Article | 22 October 2004 Paper

A simple atmospheric correction for HRSC-AX high resolution image data: examples and conclusions from HRSC flight campaigns

Tilman Bucher

Proceedings Volume 5574, (2004) https://doi.org/10.1117/12.565409

KEYWORDS: Atmospheric corrections, Scattering, Sensors, Image quality, Atmospheric particles, Aerosols, Image processing, Calibration, Rayleigh scattering, Imaging systems

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Proceedings Article | 13 February 2004 Paper

Directional effects (view angle, sun angle, flight direction) in multi-angular high resolution image data: examples and conclusions from HRSC-AX flight campaigns

Tilman Bucher

Proceedings Volume 5239, (2004) https://doi.org/10.1117/12.514237

KEYWORDS: Sensors, Sun, Image resolution, Image processing, Data acquisition, Image sensors, Cameras, CCD cameras, Image acquisition, Atmospheric corrections

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Showing 5 of 9 publications

Conference Committee Involvement (14)

Earth Resources and Environmental Remote Sensing/GIS Applications

12 September 2017 | Warsaw, Poland

Earth Resources and Environmental Remote Sensing/GIS Applications

27 September 2016 | Edinburgh, United Kingdom

Earth Resources and Environmental Remote Sensing/GIS Applications

22 September 2015 | Toulouse, France

Earth Resources and Environmental Remote Sensing/GIS Applications

23 September 2014 | Amsterdam, Netherlands

Earth Resources and Environmental Remote Sensing/GIS Applications IV

23 September 2013 | Dresden, Germany

Showing 5 of 14 Conference Committees

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