Design of cooperative matched filter for detection of chemical agents

Abstract

A matched filter (MF) is one of the most widely used detectors for the detection of chemical agent (CA) clouds in the passive hyperspectral imaging system. To improve the detection performance of the MF, a linear cooperation scheme that allocates cooperation coefficients to the spectra of the neighbouring pixels is proposed. The optimal cooperation coefficients, which removes noise signatures whilst minimising the distortion of CA signatures, are acquired by finding the maximum likelihood estimator of the cooperation coefficients. It is proved that a moving average scheme that assigns the same coefficients is the optimal cooperation scheme. Finally, a cooperative MF with the optimal cooperation scheme is designed. It is demonstrated that the proposed cooperative MF is capable of robust detection performance via outdoor experiments with actual CA data measured by a Bruker HI‐90 instrument.

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum

“…Additionally, the accurate classification of the specific chemical gas present in the atmosphere is crucial, as the approach to handling these gases varies with their types. Recognizing the significance of swift responses to chemical threats, researchers have focused on leveraging Fourier transform infrared (FTIR) spectroscopy [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. This technique allows for the remote and non-contact analysis of materials.…”

Effect of the dual library on long-range (3 km) SF 6 (Hexafluoride Sulfur) detection efficiency by portable Stand-off FTIR (Fourier Transform Infrared) detector

“…Several signal-processing studies have been conducted to overcome the above mentioned disadvantages of miniaturized FTIR detectors. Most detection algorithms have been developed relying on a probabilistic linear signal model [18][19][20][21][22]. However, the performance of such detection algorithms is signi cantly affected by the database of distinctive gas spectra and the background information for eliminating signals other than the gas spectrum.…”