The Defense Research and Development Canada establishment located at Valcartier has an ongoing project to improve
the detection capability of a optical surveillance system presently used by the Canadian Forces, To improve the detection
capabilities of the system, we demonstrated and tested a new Range-Doppler imager specialty adapted to the existing
infrared imaging system to provide information gathered by the radar to be fuse with the infrared image. Operating in W
band (92-94 GHZ), the range resolution of the radar is better than 40cm for a maximum range of 2km. To obtain the
Doppler signature of the scene, the radar is mounted on a 1.5m rail directed attached to the cameras pan-and-tilt. To
produce the range-Doppler image, the radar is moved on the rail at constant speed. As the motion of the radar is highly
linear, no correction is required in the range-Doppler processing to obtain a well focused image. The field of view of the
radar is matched to the infrared camera one to facilitate the fusion process.
The Advanced Linked Extended Reconnaissance & Targeting (ALERT) Technology Demonstration (TD) project is addressing key operational needs of the future Canadian Army's Surveillance and Reconnaissance forces by fusing multi-sensor and tactical data, developing automated processes, and integrating beyond line-of-sight sensing. We discuss concepts for displaying and fusing multi-sensor and tactical data within an Enhanced Operator Control Station (EOCS). The sensor data can originate from the Coyote's own visible-band and IR cameras, laser rangefinder, and ground-surveillance radar, as well as beyond line-of-sight systems such as a mini-UAV and unattended ground sensors. The authors address technical issues associated with the use of fully digital IR and day video cameras and discuss video-rate image processing developed to assist the operator to recognize poorly visible targets. Automatic target detection and recognition algorithms processing both IR and visible-band images have been investigated to draw the operator's attention to possible targets. The machine generated information display requirements are presented with the human factors engineering aspects of the user interface in this complex environment, with a view to establishing user trust in the automation. The paper concludes with a summary of achievements to date and steps to project completion.
The present study looks at the problem of classifying ground targets based on the experimental signatures gathered with a millimeter-wave FMCW radar. The selection of features for robust target classification using circular polarization signatures is considered here. The technique relies on the concept of transient polarization and uses the circularly polarized responses of the targets to define the classification features. Each target can then be decomposed into substructures tracked during the measurements. Once the features of all the substructures are extracted, an artificial neural network is used to classify the signatures.
The Defense Research Establishment, Valcartier has an ongoing project on a multi-sensors system, called CAMUS (Common Aperture MUlti-Sensors). The main objective of this project is to demonstrate the concept of fusing three sensors on a single chassis. The project covers the development of the sensors' head and the processing sub-systems required for fusing the acquired data and information. The three sensors identified for this project are: a visible camera, a 3 - 5 micrometer infrared camera and a 94 GHz millimeter-wave radar. This paper describes the approach used to combine the three sensors along with the various processing schemes to merge the visible and infrared images with the radar information. The CAMUS system will present all the information gathered by the three sensors on a single display to the operator. The main application of this project is to demonstrate an advanced sight for a direct fire control system.
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