Dr. Tyler Alexander Ivanco Profile

Dr. Tyler Alexander Ivanco

Vice President, Instrument Development Production at ITRES Research Ltd

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Publications (7)

Proceedings Article | 7 May 2007 Paper

A thermal infrared hyperspectral imager (tasi) for buried landmine detection

Steve Achal, John McFee, Tyler Ivanco, Cliff Anger

Proceedings Volume 6553, 655316 (2007) https://doi.org/10.1117/12.720453

KEYWORDS: Land mines, Imaging systems, Hyperspectral imaging, Thermography, Infrared radiation, Infrared imaging, Sensors, Infrared detectors, Spatial resolution, Mining

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Proceedings Article | 7 May 2007 Paper

Real-time airborne hyperspectral imaging of land mines

Tyler Ivanco, Steve Achal, John McFee, Cliff Anger, Jane Young

Proceedings Volume 6553, 655315 (2007) https://doi.org/10.1117/12.720442

KEYWORDS: Land mines, Imaging systems, Data acquisition, Hyperspectral imaging, Data storage, Infrared imaging, Infrared radiation, Image processing, Thermography, Sensors

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Proceedings Article | 26 April 2007 Paper

Landmine detection using passive hyperspectral imaging

John McFee, Cliff Anger, Steve Achal, Tyler Ivanco

Proceedings Volume 6554, 655404 (2007) https://doi.org/10.1117/12.722204

KEYWORDS: Land mines, Imaging systems, Mining, Hyperspectral imaging, Reflectivity, Short wave infrared radiation, Infrared radiation, Thermography, Infrared imaging, Vegetation

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Proceedings Article | 10 June 2005 Paper

A short wave infrared hyperspectral imager for landmine detection

John McFee, Steve Achal, Tyler Ivanco, Cliff Anger

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.602637

KEYWORDS: Land mines, Short wave infrared radiation, Mining, Hyperspectral imaging, Reflectivity, Imaging systems, Infrared radiation, Sensors, Infrared imaging, Infrared detectors

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DRDC Suffield and Itres Research have jointly investigated the use of visible and infrared hyperspectral imaging for landmine detection since 1988. There has been considerable success detecting surface-laid landmines by classification of their visible/near infrared (VNIR - 400 to 1000 nm wavelength) spectral signatures, but it has not been possible to find VNIR spectral characteristics that would generically distinguish anthropogenic objects from natural features such as rocks, vegetation, soil, etc. Preliminary studies in 1998 suggested that it might be possible to develop such a generic classifier in the short wave infrared (SWIR) and that detection performance might improve. Because of a lack of available SWIR hyperspectral imagers with adequate performance for mine detection, a prototype pushbroom SWIR hyperspectral imager was developed and completed in summer 2002. The now commercially available instrument, sasi, has 160 bands over a spectral range of 850 to 2450 nm, signal to noise ratio of 400:1 with f/1.8 fore-optics, and 600 pixels over a 37.7° field of view. A number of mission flights have been carried out and excellent imagery obtained. In October 2003, Itres and DRDC Suffield personnel obtained field SWIR hyperspectral imagery in the DRDC Suffield Mine Pen of numerous surface-laid mines, one buried mine, other surface-laid human-made items, background materials and people from a horizontally scanning personnel-lift at an altitude of roughly 5 m. Preliminary indications are that a simple generic classification decision boundary should be able to distinguish surface-laid landmines from many human-made artifacts and natural materials. The buried mine was not detected, but the mine had been buried for several years and hence there would be no residual surface disturbance. Furthermore, the small sample size and limited observation time make it difficult to generalize about SWIR performance for buried mines. The instrument is described and the preliminary results of the trial, planned improvements and future research are discussed.

Proceedings Article | 21 September 2004 Paper

A proof-of-concept optical tripwire detector

John McFee, Steve Achal, Tyler Ivanco, Ashley Tam, Greg Baker, Clifford Anger

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.541637

KEYWORDS: Sensors, Imaging systems, Image processing, Mining, Vegetation, Land mines, Detection and tracking algorithms, Hough transforms, Image filtering, Image segmentation

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Proceedings Article | 18 October 2001 Paper

Casi real-time surface-laid mine detection system

Tyler Ivanco, Stephen Achal, John McFee, Clifford Anger

Proceedings Volume 4394, (2001) https://doi.org/10.1117/12.445488

KEYWORDS: Real-time computing, Land mines, Image processing, Detection and tracking algorithms, Data acquisition, Data processing, Target detection, Data backup, Mining, Radiometric corrections

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Proceedings Article | 31 October 1996 Paper

Spectral Airglow Temperature Imager

Rudolph Wiens, Stephen Brown, Stoyan Sargoytchev, R. Peterson, William Gault, Gordon Shepherd, Adrian Moise, Tyler Ivanco, George Fazekas

Proceedings Volume 2830, (1996) https://doi.org/10.1117/12.256136

KEYWORDS: Imaging systems, Airglow, Interference filters, Digital signal processing, Temperature metrology, Charge-coupled devices, Filtering (signal processing), Satellites, Oxygen, Cryogenics

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