Adaptive Analysis for Chemical Recognition and Identification Using Remote Fourier Transform Infrared (FTIR) Spectroscopy

E-OIR Technologies proposes the design and development of an automated, adaptive chemical exploitation systems (AACES) to support the passive detection and identification of chemical effluents. AACES will leverage proven remote sensing algorithms and adaptthem to the passive Fourier transform spectroscopy (FTIR) problem. This research effort will investigate advanced background discrimination techniques, atmospheric compensation requirements, and adaptive methods for remote detection and identification ofchemicals. The Phase I research will culminate in the development of an algorithm testbed for performance evaluation and a feasibility study. In subsequent phases a prototype hardware-based system will be implemented and tested The outcome of this researchwill culminate in a basic algorithm to provide improved detection and identification of chemical gases. The initial product line will be a complete processing and exploitation tool for spectral analysis of gases using imaging and non-imaging hyperspectralsensor data. This tool will integrate spectral libraries and processing algorithms into a user-friendly gui interface to support gas detection and identification for both intelligence and industrial monitoring applications. The second product will be anoutcome of Phase II research in which the improved detection algorithm will be implemented in a hardware process and link to a commercial FTIR system. This system will support Homeland Defense and Physical Security Applications.