Paper
7 February 2002 Chemical imaging system
Author Affiliations +
Proceedings Volume 4574, Instrumentation for Air Pollution and Global Atmospheric Monitoring; (2002) https://doi.org/10.1117/12.455168
Event: Environmental and Industrial Sensing, 2001, Boston, MA, United States
Abstract
The Chemical Imaging System (CIS) is a small, high-speed long-wave infrared (8 - 12 micrometers ) imaging spectrometer which is currently under development by the United States Army. The fielded system will operate at 360 scans per second with a large format focal-plane-array. Currently, the CIS uses the TurboFT FTS in conjunction with a 16-pixel direct-wired HgCdTe detector array. The TurboFT spectrometer provides high-speed operation in a small, lightweight package. In parallel to the hardware development, an algorithm and software development effort is underway to address some unique features of the CIS. The TurboFT-based system requires a non-uniform sampling Fourier transform algorithm in order to preserve signal fidelity. Also, the availability of multiple pixels can be exploited in order to improve the interference suppression capabilities of the system by allowing the detection and identification algorithm to adapt its parameters to the changing background. Due to the enormous amount of data generated, the signal processing must proceed at very high rate. High-speed computers operating with a parallel architecture are required to process the data in real time. This paper describes the current CIS bread box system. It includes some field measurement results followed by a discussion of the issues and challenges associated with meeting the design goals set for the program.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James O. Jensen, Agustin I. Ifarraguerri, William R. Loerop, Winthrop Wadsworth, and Jens-Peter Dybwad "Chemical imaging system", Proc. SPIE 4574, Instrumentation for Air Pollution and Global Atmospheric Monitoring, (7 February 2002); https://doi.org/10.1117/12.455168
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Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Computing systems

Imaging systems

Imaging spectroscopy

Detection and tracking algorithms

Signal processing

Spectroscopy

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