Dr. Christopher R. Bell Profile

Dr. Christopher R. Bell

Physicist at Defence Science and Technology Lab

SPIE Involvement:

Author

Proceedings Article | 9 October 2019 Presentation + Paper

Data collection and preliminary results on turbulence characterisation and mitigation techniques

M. -T. Velluet, C. Bell, J. -F. Daigle, J. Dijk, S. Gladysz, A. Kanaev, A. Lambert, D. Lemaster, G. Potvin, M. Vorontsov

Proceedings Volume 11159, 111590Q (2019) https://doi.org/10.1117/12.2533821

KEYWORDS: Turbulence, Cameras, Laser beam propagation, Sensors, Image processing, Data modeling, Imaging systems

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Proceedings Article | 13 May 2019 Paper

Actionable surveillance identification (ASI)

Christopher Bell, Iain Macleod

Proceedings Volume 10995, 109950K (2019) https://doi.org/10.1117/12.2518458

KEYWORDS: Image resolution, Imaging systems, Surveillance, Cameras, Video, Standards development, Head, Image quality, Video surveillance, Target recognition

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Proceedings Article | 24 July 2000 Paper

Trial SNAPSHOT: measurements for terrain background characterization

Marilyn Gilmore, Alistair Mitchell, Christopher Bell, David Thomas, Roger Evans

Proceedings Volume 4029, (2000) https://doi.org/10.1117/12.392545

KEYWORDS: Reflectivity, Sensors, Camouflage, Visible radiation, Spectral resolution, Optical filters, Image intensifiers, Defense and security, Calibration, Image filtering

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The spatial and spectral characteristics of targets and backgrounds must be known and understood for a wide variety of reasons such as: synthetic scene simulation and validation; target description for modelling; in- service target material characterisation and background variability assessment. Without this information it will be impossible to design effective camouflage systems and to maximise the capabilities of new sensors. Laboratory measurements of background materials are insufficient to provide the data required. A series of trials are being undertaken in the UK to quantify both diurnal and seasonal changes of a terrain background, as well as the statistical variability within a scene. These trials are part of a collaborative effort between the Defence Evaluation and Research Agency (UK), Defence Clothing and Textile Agency (UK) and the T.A.C.O.M. (USA). Data are being gathered at a single site consisting primarily of south facing mixed coniferous and deciduous woodland, but also containing uncultivated grassland and tracks. Ideally each point in the scene needs to be characterized at all relevant wavelengths but his is unrealistic. In addition there are a number of important environmental variables that are required. The goal of the measurement programme is to acquire data across the spectrum from 0.4 - 14 microns. Sensors used to include visible band imaging spectroradiometers, telespectroradiometers (visual, NIR, SWIR and LWIR), calibrate colour cameras, broad band SWIR and LWIR imagers and contact reflectance measurement equipment. Targets consist of painted panels with known material properties and a wheeled vehicle, which is in some cases covered with camouflage netting. Measurements have bene made of the background with and without the man- made objects present. This paper will review the results to date and present an analysis of the spectral characteristics fo different surfaces. In addition some consideration will be given to the implications of the data obtained for camouflage design.

Conference Committee Involvement (4)

Artificial Intelligence and Machine Learning in Defense Applications IV

6 September 2022 | Berlin, Germany

Artificial Intelligence and Machine Learning in Defense Applications III

13 September 2021 | Online Only, Spain

Artificial Intelligence and Machine Learning in Defense Applications II

22 September 2020 | Online Only, United Kingdom

Artificial Intelligence and Machine Learning in Defense Applications

10 September 2019 | Strasbourg, France

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