Telops Inc. | Date: 2015-09-08
Products in the field of defense, industrial, environmental, aerospace and research industries, namely, remote sensing instruments and components, namely, hyperspectral imaging systems and infrared cameras used for ground-based or airborne applications. Engineering consulting, design, research and development services for optical products for the defense, industrial, environmental, aerospace and research industries.
Telops Inc. | Date: 2010-07-13
Puckrin E.,Canadian Department of National Defence |
Turcotte C.S.,Canadian Department of National Defence |
Gagnon M.-A.,Telops Inc. |
Bastedo J.,PV Labs |
And 2 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2012
Persistent surveillance and collection of airborne intelligence, surveillance and reconnaissance information is critical in today's warfare against terrorism. High resolution imagery in visible and infrared bands provides valuable detection capabilities based on target shapes and temperatures. However, the spectral resolution provided by a hyperspectral imager adds a spectral dimension to the measurements, leading to additional tools for detection and identification of targets, based on their spectral signature. The Telops Hyper-Cam sensor is an interferometer-based imaging system that enables the spatial and spectral analysis of targets using a single sensor. It is based on the Fourier-transform technology yielding high spectral resolution and enabling high accuracy radiometric calibration. It provides datacubes of up to 320×256 pixels at spectral resolutions as fine as 0.25 cm-1. The LWIR version covers the 8.0 to 11.8 μm spectral range. The Hyper-Cam has been recently used for the first time in two compact airborne platforms: a belly-mounted gyro-stabilized platform and a gyro-stabilized gimbal ball. Both platforms are described in this paper, and successful results of high-altitude detection and identification of targets, including industrial plumes, and chemical spills are presented. © 2012 SPIE.
Kastek M.,Military University of Technology |
Piatkowski T.,Military University of Technology |
Dulski R.,Military University of Technology |
Chamberland M.,Telops Inc. |
And 2 more authors.
Photonics Letters of Poland | Year: 2012
This paper presents the detection and identification of gases using an infrared imaging Fourier-transform spectrometer. The principle of operation of the spectrometer and the method for gases detection and identification has been shown in the paper. The variation of a signal reaching the IFTS caused by the presence of a gas has been calculated and compared with the reference signal obtained without the presence of a gas in IFTS's field of view. Some results of the detection of various types of gases have been presented too. © 2012 Photonics Society of Poland.
Adler-Golden S.M.,Spectral Sciences, Inc. |
Conforti P.,Spectral Sciences, Inc. |
Gagnon M.,Telops Inc. |
Tremblay P.,Telops Inc. |
Chamberland M.,Telops Inc.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2014
Processing long-wave infrared (LWIR) hyperspectral imagery to surface emissivity or reflectance units via atmospheric compensation and temperature-emissivity separation (TES) affords the opportunity to remotely classify and identify solid materials with minimal interference from atmospheric effects. This paper describes an automated atmospheric compensation and TES method, called FLAASH®-IR (Fast Line-of-sight Atmospheric Analysis of Spectral Hypecubes - Infrared), and its application to ground-to-ground imagery taken with the Telops Inc. Hyper-Cam interferometric hyperspectral imager. The results demonstrate that clean, quantitative surface spectra can be obtained, even with highly reflective (low emissivity) objects such as bare metal and in the presence of some illumination from the surroundings. In particular, the atmospheric compensation process suppresses the spectral features due to atmospheric water vapor and ozone, which are especially prominent in reflected sky radiance. © 2014 SPIE.