Dr. Anna Linderhed Profile

Dr. Anna Linderhed

at Swedish Defence Research Agency

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Publications (11)

Proceedings Article | 26 October 2010 Paper

Infrared animal modeling for training ATR algorithms

Tommy Johansson, Jan Fagerström, Mikael Karlsson, Anna Linderhed, Andreas Persson

Proceedings Volume 7833, 783303 (2010) https://doi.org/10.1117/12.865219

KEYWORDS: Animal model studies, Solid modeling, Infrared signatures, Skin, Thermal modeling, Sensors, 3D modeling, Automatic target recognition, Infrared imaging, Thermography

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Proceedings Article | 28 September 2009 Paper

Compression of hyperspectral data for automated analysis

Anna Linderhed, Niclas Wadströmer, K.-G. Stenborg, Harald Nautsch

Proceedings Volume 7477, 74770P (2009) https://doi.org/10.1117/12.830343

KEYWORDS: Image compression, Sensors, Quantization, Video compression, Video, Hyperspectral imaging, Data compression, Standards development, Target detection, Data modeling

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State of the art and coming hyperspectral optical sensors generate large amounts of data and automatic analysis is necessary. One example is Automatic Target Recognition (ATR), frequently used in military applications and a coming technique for civilian surveillance applications. When sensors communicate in networks, the capacity of the communication channel defines the limit of data transferred without compression. Automated analysis may have different demands on data quality than a human observer, and thus standard compression methods may not be optimal. This paper presents results from testing how the performance of detection methods are affected by compressing input data with COTS coders. A standard video coder has been used to compress hyperspectral data. A video is a sequence of still images, a hybrid video coder use the correlation in time by doing block based motion compensated prediction between images. In principle only the differences are transmitted. This method of coding can be used on hyperspectral data if we consider one of the three dimensions as the time axis. Spectral anomaly detection is used as detection method on mine data. This method finds every pixel in the image that is abnormal, an anomaly compared to the surroundings. The purpose of anomaly detection is to identify objects (samples, pixels) that differ significantly from the background, without any a priori explicit knowledge about the signature of the sought-after targets. Thus the role of the anomaly detector is to identify "hot spots" on which subsequent analysis can be performed. We have used data from Imspec, a hyperspectral sensor. The hyperspectral image, or the spectral cube, consists of consecutive frames of spatial-spectral images. Each pixel contains a spectrum with 240 measure points. Hyperspectral sensor data was coded with hybrid coding using a variant of MPEG2. Only I- and P- frames was used. Every 10th frame was coded as I frame. 14 hyperspectral images was coded in 3 different directions using x, y, or z direction as time. 4 different quantization steps were used. Coding was done with and without initial quantization of data to 8 bbp. Results are presented from applying spectral anomaly detection on the coded data set.

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 | 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 | 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 | 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 | 8 March 2002 Paper

Wavelet packet decompositions of texture images: analysis of cost functions, filter influences, and image models

Anna Linderhed

Proceedings Volume 4738, (2002) https://doi.org/10.1117/12.458773

KEYWORDS: Image filtering, Wavelets, Image compression, Transform theory, Electronic filtering, Image analysis, Linear filtering, Spatial frequencies, Wavelet packet decomposition, Fourier transforms

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Proceedings Article | 8 March 2002 Paper

2D empirical mode decompositions in the spirit of image compression

Anna Linderhed

Proceedings Volume 4738, (2002) https://doi.org/10.1117/12.458772

KEYWORDS: Wavelets, Image compression, Digital filtering, Electronic filtering, Composites, Fourier transforms, Image filtering, Signal processing, Signal analyzers, Data compression

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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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Showing 5 of 11 publications

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