A Bayesian Track-before-Detect Algorithm for IR Point Target Detection [chapter]

Robert C. Warren
2002 Hybrid Information Systems  
An algorithm has been developed for the detection of point targets in uncluttered background based on a Bayesian track before detect method. The algorithm has an application in the detection of sea skimming antiship missiles at maximum range, when the missile appears over the horizon. Because of the long range, angular motion of the target will be insignificant, and target motion cannot be used to aid detection. The effect of filtering with a number of spatial filters on detection efficiency is
more » ... assessed. The algorithm was tested on an infrared image sequence of an aircraft approaching the sensor at low level over water with a diffuse cloud background, and it was found to perform significantly better than simple detection by threshold exceedance. The algorithm is intended for application on a massively parallel processor where each pixel is assigned to a processing element, and each pixel is considered to be an individual sensor. RELEASE LIMITATION Approved for public release Published by obtained an MSc in Physics from the University of NSW in 1969. After joining what became DSTO in 1968 he worked in the fields of X-ray crystallograpghy, neutron diffraction and X-ray fluorescence spectroscopy. On moving to Salisbury in 1972 he worked on the mechanical properties of composite and nitrocellulose based propellants. After a 2 year attachment in the UK, he made discoveries in the mechanical relaxation and rheological behaviour of nitrocellulose materials. After a spell working on the prediction of rocket exhaust flowfields, he is now in the Advanced Concepts Group working on IR search and track systems. ____________________ ________________________________________________
doi:10.1007/978-3-7908-1782-9_39 fatcat:lfpza6qtzrfodlf4ffpydoz5je