Dr. Sten Nyberg Profile

Dr. Sten Nyberg

Senior Scientist at Swedish Defence Research Agency

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 5 October 2006 Paper

Optical signature modeling at FOI

C. Nelsson, P. Hermansson, S. Nyberg, A. Persson, R. Persson, S. Sjökvist, T. Winzell

Proceedings Volume 6395, 639508 (2006) https://doi.org/10.1117/12.689824

KEYWORDS: Electro optical modeling, Sensors, Data modeling, Monte Carlo methods, Atmospheric modeling, RGB color model, Reflectivity, Solid modeling, Computer aided design, Temperature metrology

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Proceedings Article | 5 October 2006 Paper

MOMS: multi-optical mine detection system: project overview

Anna Linderhed, Stefan Sjökvist, Ove Steinvall, Dietmar Letalick, Gustav Tolt, Tomas Chevalier, Sten Nyberg, Håkan Larsson, Magnus Uppsäll, Dennis Menning

Proceedings Volume 6395, 639503 (2006) https://doi.org/10.1117/12.690379

KEYWORDS: Land mines, Mining, Sensors, LIDAR, Vegetation, Luminescence, Thermography, Reflectivity, Target detection, Reflection

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Proceedings Article | 16 May 2006 Paper

Multi-optical mine detection: results from a field trial

Dietmar Letalick, Gustav Tolt, Stefan Sjökvist, Sten Nyberg, Christina Grönwall, Pierre Andersson, Anna Linderhed, Göran Forssell, Håkan Larsson, Magnus Uppsäll

Proceedings Volume 6217, 62170D (2006) https://doi.org/10.1117/12.665517

KEYWORDS: Sensors, Reflectivity, Land mines, LIDAR, Polarization, Target detection, Cameras, Mining, Optical filters, Optical sensors

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Proceedings Article | 9 February 2006 Paper

Is Wölfflin's system for characterizing art possible to validate by methods used in cognitive-based image-retrieval (CBIR)?

Gunilla Derefeldt, Sten Nyberg, Jens Alfredson, Henrik Allberg

Proceedings Volume 6057, 605710 (2006) https://doi.org/10.1117/12.639787

KEYWORDS: Image processing, Colorimetry, Visualization, Imaging systems, Electronic imaging, Psychology, Factor analysis, Feature extraction, 3D image processing, Defense and security

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Proceedings Article | 10 June 2005 Paper

Land mine detection by IR temporal analysis: detection method

Anna Linderhed, Stefan Sjokvist, Sten Nyberg, Magnus Uppsall

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603908

KEYWORDS: Land mines, Mining, Infrared imaging, Data modeling, Detection and tracking algorithms, Distance measurement, Performance modeling, Thermography, Analytical research, Infrared detectors

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Proceedings Article | 10 June 2005 Paper

Land mine detection by IR temporal analysis: physical numerical modeling

Stefan Sjokvist, Anna Linderhed, Sten Nyberg, Magnus Uppsall, Dan Loyd

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603881

KEYWORDS: Mining, Sun, Land mines, Data modeling, Thermography, Numerical modeling, Calibration, Infrared imaging, Reflectivity, Temperature metrology

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Proceedings Article | 25 May 2005 Paper

Methods for validation of optical signature models

Claes Nelsson, Erik Andersson, David Boerjesson, Patrik Hermansson, Sten Nyberg, Stefan Sjoekvist, Thomas Winzell

Proceedings Volume 5811, (2005) https://doi.org/10.1117/12.603775

KEYWORDS: Monte Carlo methods, Temperature metrology, Sensors, Computer simulations, Error analysis, Infrared signatures, Electro optical modeling, Fused deposition modeling, Data modeling, Thermal modeling

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Proceedings Article | 21 September 2004 Paper

Temporal method for IR minefield feature detection

Stefan Sjokvist, Anna Linderhed, Sten Nyberg, Magnus Uppsall

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.542395

KEYWORDS: Infrared imaging, Land mines, Temperature metrology, Image analysis, Sensors, Calibration, Mining, Thermography, Infrared sensors, Signal processing

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Proceedings Article | 10 November 2003 Paper

Characterizing low-signature targets in background using spatial and spectral features

Sten Nyberg, Lars Bohman

Proceedings Volume 5152, (2003) https://doi.org/10.1117/12.508785

KEYWORDS: Fractal analysis, Target detection, Distance measurement, Camouflage, Sensors, Fourier transforms, Target recognition, Visualization, Spatial frequencies, Image filtering

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Proceedings Article | 13 August 2002 Paper

Analysis of optical measurements of real minefields

Anna Linderhed, Magnus Lundberg, Sten Nyberg, Stefan Sjoekvist, Magnus Uppsaell

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479087

KEYWORDS: Land mines, Mining, Data modeling, Sensors, Finite element methods, Optical testing, Infrared cameras, Shortwaves, Temperature metrology, Aluminum

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Proceedings Article | 27 November 2001 Paper

Optical detection of land mines at FOI

Stefan Sjoekvist, Magnus Uppsaell, Sten Nyberg, Anna Linderhed, Magnus Lundberg

Proceedings Volume 4491, (2001) https://doi.org/10.1117/12.450168

KEYWORDS: Land mines, Sensors, Temperature metrology, Infrared imaging, Signal processing, Mining, Modeling, Thermodynamics, Thermography, Cameras

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Proceedings Article | 18 September 2001 Paper

Assessing camouflage using textural features

Sten Nyberg, Lars Bohman

Proceedings Volume 4370, (2001) https://doi.org/10.1117/12.440094

KEYWORDS: Distance measurement, Camouflage, Target detection, Fourier transforms, Calibration, Visualization, Spatial frequencies, Target recognition, Infrared radiation, Infrared signatures

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SPIE Journal Paper | 1 September 2001

Assessing camouflage methods using textural features

Sten Nyberg, Lars Bohman

OE, Vol. 40, Issue 09, (September 2001) https://doi.org/10.1117/12.10.1117/1.1390295

KEYWORDS: Distance measurement, Camouflage, Target detection, Visualization, Fourier transforms, Calibration, Optical engineering, Spatial frequencies, Image analysis, Data modeling

Proceedings Article | 1 October 1998 Paper

Spatial and temporal IR variations of natural background

Magnus Uppsaell, Sten Nyberg

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323172

KEYWORDS: Fractal analysis, Target detection, Target recognition, Principal component analysis, Humidity, Cameras, Visualization, Sensors, Reconnaissance systems, Surveillance

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Proceedings Article | 7 July 1998 Paper

Camouflage assessment considering human perception data

Floris Gretzmacher, Georg Ruppert, Sten Nyberg

Proceedings Volume 3375, (1998) https://doi.org/10.1117/12.327177

KEYWORDS: Camouflage, Visualization, Machine vision, Computer vision technology, Distance measurement, Neural networks, Computing systems, Image processing, Image segmentation, Feature selection

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Shape and shape disruption have significant influence to the human target acquisition mechanism. A special testing method (the so called `photo-simulation') was developed in the eighties to present a set of image slides of camouflaged and not camouflaged objects in preferably natural backgrounds to military personnel to quantify differences in object camouflage effectiveness. Statistically significant results were achieved, however, the high test requirements limited its practical use. The project is motivated by an urgent need for a camouflage evaluation system based on computer vision with a fast response so that the user in a field test can be supported to further improve his camouflage skills. Hence, the photo simulation method cannot be regarded as obsolete, it can be used to compare the results of the camouflage evaluation system with the results of human perception. With an human-in-the-loop computer based camouflage assessment system, processing should be sped up by some orders of magnitude, could be automated for field tests and would yield several additional features. To overcome the problem of quantifying e.g. texture similarity of different camouflage nets to blend into the natural background, an image processing/visualization method was pursued by the Austrian Ministry of Defense. Now the same image-sets can be used for the human photo-simulation as well as for segmentation/classification by the camouflage assessment tool. Today a modified Euclid-distance measurement for visual images is being used while similarity of shapes (gestalt) to a selected region can be visualized. Feature selection is being done by training a neural network with the results of the human perception data. A cost effective prototype of a camouflage assessment tool based on standard hardware can be presented. Its promising performance gives hope to get beyond subjective camouflage experts stimuli. In the next project phase also thermal images shall be handled with the camouflage assessment tool.

Proceedings Article | 13 August 1993 Paper

Approach to assessment of camouflage methodology

Sten Nyberg, Magnus Uppsaell, Lars Bohman

Proceedings Volume 1967, (1993) https://doi.org/10.1117/12.151052

KEYWORDS: Camouflage, Electro optical modeling, Distance measurement, Signal to noise ratio, Fractal analysis, Target acquisition, Mathematical modeling, Systems modeling, Sensors, Calibration

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Showing 5 of 16 publications

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