Dr. Mathias Kneubühler Profile

Dr. Mathias Kneubühler

at Univ of Zürich

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Author

Publications (12)

Proceedings Article | 2 November 2022 Presentation + Paper

A multi-temporal hyperspectral camouflage detection and transparency experiment

Wolfgang Gross, Florian Queck, Simon Schreiner, Marius Vögtli, Jannick Kuester, Jonas Mispelhorn, Mathias Kneubühler, Wolfgang Middelmann

Proceedings Volume 12270, 1227004 (2022) https://doi.org/10.1117/12.2636132

KEYWORDS: Camouflage, Vegetation, Transparency, Target detection, Sensors, Image processing, Hyperspectral target detection, Detection and tracking algorithms

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Proceedings Article | 12 September 2021 Presentation + Paper

A multi-temporal hyperspectral target detection experiment: evaluation of military setups

Wolfgang Gross, Florian Queck, Marius Vögtli, Simon Schreiner, Jannick Kuester, Jonas Böhler, Jonas Mispelhorn, Mathias Kneubühler, Wolfgang Middelmann

Proceedings Volume 11865, 1186506 (2021) https://doi.org/10.1117/12.2597991

KEYWORDS: Camouflage, Target detection, Sensors, Hyperspectral target detection, Transparency, Vegetation, Detection and tracking algorithms, Spectroscopy

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Proceedings Article | 30 November 2016 Presentation + Paper

Determination of target detection limits in hyperspectral data using band selection and dimensionality reduction

W. Gross, J. Boehler, K. Twizer, B. Kedem, A. Lenz, M. Kneubuehler, P. Wellig, R. Oechslin, H. Schilling, S. Rotman, W. Middelmann

Proceedings Volume 9997, 99970H (2016) https://doi.org/10.1117/12.2240931

KEYWORDS: Target detection, Hyperspectral target detection, Sensors, Spatial resolution, Detection and tracking algorithms, Hyperspectral simulation, Short wave infrared radiation, Remote sensing, RGB color model, Data processing

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Hyperspectral remote sensing data can be used for civil and military applications to robustly detect and classify target objects. High spectral resolution of hyperspectral data can compensate for the comparatively low spatial resolution, which allows for detection and classification of small targets, even below image resolution. Hyperspectral data sets are prone to considerable spectral redundancy, affecting and limiting data processing and algorithm performance. As a consequence, data reduction strategies become increasingly important, especially in view of near-real-time data analysis. The goal of this paper is to analyze different strategies for hyperspectral band selection algorithms and their effect on subpixel classification for different target and background materials. Airborne hyperspectral data is used in combination with linear target simulation procedures to create a representative amount of target-to-background ratios for evaluation of detection limits. Data from two different airborne hyperspectral sensors, AISA Eagle and Hawk, are used to evaluate transferability of band selection when using different sensors. The same target objects were recorded to compare the calculated detection limits. To determine subpixel classification results, pure pixels from the target materials are extracted and used to simulate mixed pixels with selected background materials. Target signatures are linearly combined with different background materials in varying ratios. The commonly used classification algorithms Adaptive Coherence Estimator (ACE) is used to compare the detection limit for the original data with several band selection and data reduction strategies. The evaluation of the classification results is done by assuming a fixed false alarm ratio and calculating the mean target-to-background ratio of correctly detected pixels. The results allow drawing conclusions about specific band combinations for certain target and background combinations. Additionally, generally useful wavelength ranges are determined and the optimal amount of principal components is analyzed.

Proceedings Article | 21 October 2015 Paper

Assessment of target detection limits in hyperspectral data

W. Gross, J. Boehler, H. Schilling, W. Middelmann, J. Weyermann, P. Wellig, R. Oechslin, M. Kneubuehler

Proceedings Volume 9653, 96530J (2015) https://doi.org/10.1117/12.2192197

KEYWORDS: Target detection, Short wave infrared radiation, Sensors, Detection and tracking algorithms, Hyperspectral target detection, Spatial resolution, Remote sensing, Composites, Image resolution, Global Positioning System

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SPIE Journal Paper | 1 May 2010

Impact of multiangular information on empirical models to estimate canopy nitrogen concentration in mixed forest

Silvia Huber, Benjamin Koetz, Achilleas Psomas, Mathias Kneubuehler, Juerg Schopfer, Klaus Itten, Niklaus Zimmermann

JARS, Vol. 4, Issue 01, 043530, (May 2010) https://doi.org/10.1117/12.10.1117/1.3435334

KEYWORDS: Data modeling, Reflectivity, Nitrogen, Absorption, Biological research, Scattering, Data acquisition, Biochemistry, Vegetation, Sensors

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Proceedings Article | 18 August 2009 Paper

Spectral Angle Mapper (SAM) for anisotropy class indexing in imaging spectrometry data

J. Weyermann, D. Schläpfer, A. Hueni, M. Kneubühler, M. Schaepman

Proceedings Volume 7457, 74570B (2009) https://doi.org/10.1117/12.825991

KEYWORDS: Reflectivity, Anisotropy, Sensors, Bidirectional reflectance transmission function, Vegetation, Imaging spectrometry, Detection and tracking algorithms, Image classification, Image processing, Spectroscopy

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Proceedings Article | 18 August 2009 Paper

SPECCHIO: a free spectral data management and processing system

A. Hueni, M. Kneubuehler

Proceedings Volume 7457, 74570A (2009) https://doi.org/10.1117/12.824695

KEYWORDS: Databases, Data storage, Calibration, Remote sensing, Java, Spectral data processing, Human-machine interfaces, Computing systems, Data processing, Imaging systems

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Proceedings Article | 4 November 2004 Paper

Comparison of field and laboratory spectro-directional measurements using a standard artificial target

Juerg Schopfer, Stefan Dangel, Johannes Kaiser, Mathias Kneubuehler, Jens Nieke, Gabriela Schaepman-Strub, Michael Schaepman, Klaus Itten

Proceedings Volume 5570, (2004) https://doi.org/10.1117/12.585555

KEYWORDS: Reflectivity, Sun, Bidirectional reflectance transmission function, Photometry, Anisotropy, Sensors, Spatial resolution, Lamps, Remote sensing, Light sources

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Proceedings Article | 4 November 2004 Paper

Assessment of long-term vicarious calibration efforts of MERIS on land product quality

Michael Schaepman, Raul Zurita-Milla, Mathias Kneubuehler, Jan Clevers, Steven Delwart

Proceedings Volume 5570, (2004) https://doi.org/10.1117/12.566582

KEYWORDS: Calibration, Virtual colonoscopy, Databases, Image classification, Image filtering, Satellites, Sensors, Reflectivity, Optical filters, Spatial resolution

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Proceedings Article | 2 February 2004 Paper

MERIS/ENVISAT vicarious calibration over land

Mathias Kneubuehler, Michael Schaepman, Kurtis Thome, Daniel Schlapfer

Proceedings Volume 5234, (2004) https://doi.org/10.1117/12.510449

KEYWORDS: Calibration, Atmospheric modeling, Data modeling, Reflectivity, Atmospheric particles, Sun, Virtual colonoscopy, Sensors, Photometry, Aerosols

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Proceedings Article | 27 October 1999 Paper

Absolute radiometric calibration of the DAIS-7915 thermal channels using sub-pixel targets

Boris Zhukov, Dieter Oertel, Peter Strobl, Mathias Kneubuehler, Michael Schaepman

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366309

KEYWORDS: Calibration, Point spread functions, Aluminum, Sensors, Temperature metrology, Atmospheric modeling, Optical sensors, Image sensors, Spectroscopy, Meteorology

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Proceedings Article | 16 October 1998 Paper

Fusion of hyperspectral (DAIS 7915), wide-angle (WAAC),and SAR (E- SAR) data acquistion methods: the MultiSwiss '97 campaign

Michael Schaepman, Mathias Kneubuehler, Erich Meier, Andreas Mueller, Peter Strobl, Ralf Reulke, Ralf Horn

Proceedings Volume 3438, (1998) https://doi.org/10.1117/12.328125

KEYWORDS: Calibration, Synthetic aperture radar, Cameras, Data acquisition, Sensors, Imaging systems, Reflectivity, Visualization, Aluminum, Global Positioning System

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Showing 5 of 12 publications

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