Open AccessDesign of cooperative matched filter for detection of chemical agents
Author(s) -
Yu HyeongGeun,
Lee Chang Sik,
Park DongJo,
Chang Dong Eui,
Nam Hyunwoo
Publication year - 2021
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12088
Subject(s) - hyperspectral imaging , detector , estimator , scheme (mathematics) , distortion (music) , computer science , filter (signal processing) , algorithm , noise (video) , matched filter , mathematical optimization , mathematics , artificial intelligence , image (mathematics) , computer vision , statistics , telecommunications , bandwidth (computing) , mathematical analysis , amplifier
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.