Dr. Dietmar Letalick Profile

Dr. Dietmar Letalick

Senior Scientist at Swedish Defence Research Agency

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Author

Publications (25)

SPIE Journal Paper | 17 November 2016 Open Access

High spatial resolution hyperspectral camera based on a linear variable filter

Ingmar G. Renhorn, David Bergström, Julia Hedborg, Dietmar Letalick, Sebastian Möller

OE, Vol. 55, Issue 11, 114105, (November 2016) https://doi.org/10.1117/12.10.1117/1.OE.55.11.114105

KEYWORDS: Optical filters, Cameras, Staring arrays, Spatial resolution, Linear filtering, Calibration, Sensors, Spectral resolution, Imaging systems, Filtering (signal processing)

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Proceedings Article | 21 October 2016 Paper

Use of multivariate analysis to minimize collecting of infrared images and classify detected objects

Thomas Svensson, Dietmar Letalick

Proceedings Volume 9988, 99880M (2016) https://doi.org/10.1117/12.2241821

KEYWORDS: Infrared imaging, Infrared radiation, Principal component analysis, Infrared detectors, Land mines, Environmental sensing, Long wavelength infrared, Improvised explosive devices, Cameras, Visualization

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Proceedings Article | 13 October 2015 Paper

Field trials for development of multiband signal processing solutions to detect disturbed soil

Henrik Petersson, David Gustafsson, Julia Hedborg, Dietmar Letalick

Proceedings Volume 9649, 964909 (2015) https://doi.org/10.1117/12.2194887

KEYWORDS: Roads, Sensors, Visualization, Improvised explosive devices, Long wavelength infrared, Short wave infrared radiation, Mid-IR, Cameras, Statistical analysis, Soil science

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Proceedings Article | 29 May 2014 Paper

Ladar-based IED detection

Philip Engström, Håkan Larsson, Dietmar Letalick

Proceedings Volume 9072, 907216 (2014) https://doi.org/10.1117/12.2049524

KEYWORDS: LIDAR, Improvised explosive devices, Roads, Improvised explosive device detection, Scanners, Sensors, Imaging systems, Cameras, Clouds, Global Positioning System

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Proceedings Article | 15 October 2013 Paper

Future electro-optical sensors and processing in urban operations

Christina Grönwall, Piet Schwering, Jouni Rantakokko, Koen Benoist, Rob A. Kemp, Ove Steinvall, Dietmar Letalick, Stefan Björkert

Proceedings Volume 8897, 889702 (2013) https://doi.org/10.1117/12.2030412

KEYWORDS: Sensors, Signal processing, Data communications, Image processing, Data processing, Telecommunications, Data fusion, Infrared sensors, 3D image processing, Unmanned aerial vehicles

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In the electro-optical sensors and processing in urban operations (ESUO) study we pave the way for the European Defence Agency (EDA) group of Electro-Optics experts (IAP03) for a common understanding of the optimal distribution of processing functions between the different platforms. Combinations of local, distributed and centralized processing are proposed. In this way one can match processing functionality to the required power, and available communication systems data rates, to obtain the desired reaction times. In the study, three priority scenarios were defined. For these scenarios, present-day and future sensors and signal processing technologies were studied. The priority scenarios were camp protection, patrol and house search. A method for analyzing information quality in single and multi-sensor systems has been applied. A method for estimating reaction times for transmission of data through the chain of command has been proposed and used. These methods are documented and can be used to modify scenarios, or be applied to other scenarios. Present day data processing is organized mainly locally. Very limited exchange of information with other platforms is present; this is performed mainly at a high information level. Main issues that arose from the analysis of present-day systems and methodology are the slow reaction time due to the limited field of view of present-day sensors and the lack of robust automated processing. Efficient handover schemes between wide and narrow field of view sensors may however reduce the delay times. The main effort in the study was in forecasting the signal processing of EO-sensors in the next ten to twenty years. Distributed processing is proposed between hand-held and vehicle based sensors. This can be accompanied by cloud processing on board several vehicles. Additionally, to perform sensor fusion on sensor data originating from different platforms, and making full use of UAV imagery, a combination of distributed and centralized processing is essential. There is a central role for sensor fusion of heterogeneous sensors in future processing. The changes that occur in the urban operations of the future due to the application of these new technologies will be the improved quality of information, with shorter reaction time, and with lower operator load.

Proceedings Article | 20 May 2013 Paper

Military forensic use of handheld 3D camera

Håkan Larsson, Dietmar Letalick

Proceedings Volume 8731, 873111 (2013) https://doi.org/10.1117/12.2015233

KEYWORDS: Forensic science, Sensors, 3D metrology, Cameras, 3D modeling, Improvised explosive devices, Stereoscopic cameras, 3D vision, Video, Clouds

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Proceedings Article | 6 October 2011 Paper

Results of ACTIM: an EDA study on spectral laser imaging

Dominique Hamoir, Laurent Hespel, Philippe Déliot, Yannick Boucher, Ove Steinvall, Jörgen Ahlberg, Hakan Larsson, Dietmar Letalick, Peter Lutzmann, Endre Repasi, Gunnar Ritt

Proceedings Volume 8186, 81860M (2011) https://doi.org/10.1117/12.903672

KEYWORDS: Sensors, Signal to noise ratio, Laser imaging, LIDAR, Reflectivity, Imaging systems, Target detection, Interference (communication), Polarization, 3D modeling

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Proceedings Article | 9 October 2010 Paper

High range resolution laser scanner with full waveform recording

Dietmar Letalick, Håkan Larsson, Gustav Tolt, Lars Allard, Erika Wollner, Folke Berglund

Proceedings Volume 7835, 783505 (2010) https://doi.org/10.1117/12.864554

KEYWORDS: Sensors, Laser scanners, Pulsed laser operation, Oscilloscopes, LIDAR, Polarization, Picosecond phenomena, Signal processing, Clouds, Vegetation

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Proceedings Article | 9 October 2010 Paper

ACTIM: an EDA initiated study on spectral active imaging

O. Steinvall, I. Renhorn, J. Ahlberg, H. Larsson, D. Letalick, E. Repasi, P. Lutzmann, G. Anstett, D. Hamoir, L. Hespel, Y. Boucher

Proceedings Volume 7835, 78350C (2010) https://doi.org/10.1117/12.865041

KEYWORDS: Imaging systems, LIDAR, Sensors, Target detection, Imaging spectroscopy, Reflectivity, Hyperspectral imaging, 3D acquisition, Polarization, Semiconductor lasers

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Proceedings Article | 29 April 2010 Paper

MOMS: a multi-optical sensor system for detection of surface laid mines

Dietmar Letalick, Ingmar Renhorn, Ove Steinvall, Niclas Wadströmer

Proceedings Volume 7664, 76640I (2010) https://doi.org/10.1117/12.850041

KEYWORDS: Sensors, Land mines, Mining, LIDAR, Improvised explosive devices, Spatial resolution, Vegetation, Signal processing, Reflectivity, Target detection

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Proceedings Article | 7 October 2008 Paper

System concepts for optical detection of surface laid mines

Ove Steinvall, Ingmar Renhorn, Dietmar Letalick

Proceedings Volume 7114, 711407 (2008) https://doi.org/10.1117/12.801744

KEYWORDS: Sensors, Land mines, Mining, Reflectivity, Polarization, Vegetation, Active sensors, Target detection, Image resolution, Improvised explosive devices

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Proceedings Article | 2 October 2008 Paper

Discriminating land mines from natural backgrounds by depolarization

Frantz Stabo-Eeg, Dietmar Letalick, Ove Steinvall, Mikael Lindgren

Proceedings Volume 7114, 71140H (2008) https://doi.org/10.1117/12.800209

KEYWORDS: Mining, Reflectivity, Land mines, Polarimetry, Polarization, Palladium, Light scattering, Reflection, Scattering, Remote sensing

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Results from an experimental polarimetric investigation of 7 different types of land mines and 3 types of plants with the aim to explore the possibility in discriminating surface land mines from natural backgrounds are presented. The samples Mueller matrices at both specular and non-specular angles during 405 nm 1570 nm laser illumination were collected. Also included in this study is reflection spectra from the mines taken from 400 to 2500 nm as well as actual images of surface land mines hidden in a natural environment during different weather conditions. The mines had a reflection coefficient between 5-15 % with peak values around 510 nm due to the embedded green pigment. The mines were found to be less reflective in wet compared to dry conditions. The polarimetric study revealed that the samples had similar retardance and diattenuation values for small incident angles, but that discrimination between the samples could be made by monitoring the depolarization of the incident light for several incident angles, as a function of the angular distribution of scattered light. The land mines generally experience less depolarization than the investigated plants, specifically for specular angles around 1570 nm where the mines act as a non-depolarizing sample with depolarization index close to 1.0. The depolarization index is significantly smaller for specular angles from the plants, becoming 0.4 or below. Both plants and mines experience more depolarization for non-specular angles. A non-specular angular scan with a constant bi-static angle resulted in a Lorentzian shaped depolarization index curve, with characteristic differences in the fitted line-shape parameters. Remote laser based polarimetry might thus be a promising supplementary technique in recognizing surface mines or other related man-made objects from a natural background. Conclusively, the depolarization index as a function of angular distribution of scattered light along with its wavelength dependence is a metric that produce significant differences in the polarimetric signatures.

Proceedings Article | 26 April 2007 Paper

Assessments of phenomenologies for multi-optical mine detection

Dietmar Letalick, Stefan Sjökvist, Magnus Uppsäll, Dennis Menning, Pierre Andersson, Christina Grönwall

Proceedings Volume 6553, 65530X (2007) https://doi.org/10.1117/12.719923

KEYWORDS: Sensors, Land mines, Mining, Roads, Vegetation, Signal processing, Long wavelength infrared, Sun, Polarization, Luminescence

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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 | 16 May 2006 Paper

MOMS: a multi-optical approach for land mine detection

Stefan Sjökvist, Magnus Uppsäll, Dietmar Letalick

Proceedings Volume 6217, 62170J (2006) https://doi.org/10.1117/12.667669

KEYWORDS: Land mines, Sensors, Mining, Reflection, Polarization, Luminescence, Reflectivity, Vegetation, Thermography, Infrared signatures

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Proceedings Article | 1 June 2005 Paper

Performance of 3D laser radar through vegetation and camouflage

Ove Steinvall, Hakan Larsson, Frank Gustafsson, Dietmar Letalick, Tomas Chevalier, Asa Persson, Pierre Andersson

Proceedings Volume 5792, (2005) https://doi.org/10.1117/12.603546

KEYWORDS: LIDAR, Vegetation, Camouflage, 3D image processing, 3D acquisition, Visualization, Reflectivity, Stereoscopy, Pulsed laser operation, Clouds

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Proceedings Article | 13 September 2004 Paper

3D laser sensing at FOI: overview and a system perspective

Ove Steinvall, Lena Klasen, Christina Gronwall, Ulf Soderman, Simon Ahlberg, Asa Persson, Magnus Elmqvist, Hakan Larsson, Dietmar Letalick, Pierre Andersson, Tomas Carlsson, Markus Henriksson

Proceedings Volume 5412, (2004) https://doi.org/10.1117/12.553808

KEYWORDS: Sensors, LIDAR, Target recognition, Target detection, 3D modeling, Staring arrays, Laser systems engineering, Weapons, Eye, Environmental sensing

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Proceedings Article | 21 August 2003 Paper

Target recognition by vibration frequency analysis: a comparison of laser vibrometry and acoustic methods

Dietmar Letalick, Tomas Carlsson, Hans Habberstad, Makus Henriksson

Proceedings Volume 5086, (2003) https://doi.org/10.1117/12.488508

KEYWORDS: Acoustics, Sensors, Vibrometry, Target recognition, Laser systems engineering, Telescopes, Head, Roads, Optical amplifiers, Signal processing

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Proceedings Article | 28 May 1999 Paper

Gated viewing for target detection and target recognition

Ove Steinvall, Hakan Olsson, Goeran Bolander, Christina Groenwall, Dietmar Letalick

Proceedings Volume 3707, (1999) https://doi.org/10.1117/12.351364

KEYWORDS: Target detection, Clouds, Target recognition, Pulsed laser operation, Cameras, Machine vision, Computer vision technology, Image processing, Reflectivity, Sensors

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Proceedings Article | 28 May 1999 Paper

Airborne laser radar: systems and methods for reconnaissance and terrain modeling

Ove Steinvall, Ulf Soederman, Simon Ahlberg, Martin Sandberg, Dietmar Letalick, Erland Jungert

Proceedings Volume 3707, (1999) https://doi.org/10.1117/12.351338

KEYWORDS: LIDAR, Target detection, 3D modeling, Data modeling, Sensors, Laser applications, Laser systems engineering, Target recognition, Laser development, Receivers

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Proceedings Article | 26 June 1996 Paper

Robust coherent laser radar design and signal processing for vibrometry

Mille Millnert, Christina Carlsson, Christer Karlsson, Dietmar Letalick, Ingmar Renhorn

Proceedings Volume 2748, (1996) https://doi.org/10.1117/12.243545

KEYWORDS: Signal to noise ratio, Modulation, LIDAR, Vibrometry, Laser development, Time-frequency analysis, Signal processing, Homodyne detection, Retroreflectors, Laser systems engineering

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Proceedings Article | 16 June 1995 Paper

Coherent laser radar for vibrometry: robust design and adaptive signal processing

Ingmar Renhorn, Christer Karlsson, Dietmar Letalick, Mille Millnert, Remke Rutgers

Proceedings Volume 2472, (1995) https://doi.org/10.1117/12.212026

KEYWORDS: LIDAR, Signal processing, Homodyne detection, Laser systems engineering, Vibrometry, Doppler effect, Modulation, Speckle, Semiconductor lasers, Oscillators

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Proceedings Article | 3 September 1993 Paper

Segmentation of laser range images with respect to range and variance

Predrag Pucar, Mille Millnert, Ingmar Renhorn, Dietmar Letalick

Proceedings Volume 1955, (1993) https://doi.org/10.1117/12.154974

KEYWORDS: Image segmentation, Filtering (signal processing), Laser systems engineering, LIDAR, Interference (communication), Stochastic processes, Switching, Radar, Data modeling, Sensors

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Proceedings Article | 1 July 1991 Paper

Terrain and target segmentation using coherent laser radar

Ingmar Renhorn, Dietmar Letalick, Mille Millnert

Proceedings Volume 1480, (1991) https://doi.org/10.1117/12.46496

KEYWORDS: Sensors, LIDAR, Image segmentation, Target detection, Laser systems engineering, Filtering (signal processing), Error analysis, Detection and tracking algorithms, Reflectivity, Imaging systems

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Showing 5 of 25 publications

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