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22 March 1996 Sensor fusion for wide-area surveillance
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Abstract
The Gabor transform (GT) is applied to the super-resolution of noisy dot image on the infrared focal plane array (FPA) for the remote surveillance of aircraft or missiles. A unique solution of this kind of ill-posed problem is possible because we have incorporated the measured or a priori known size information of the engine/nozzle. Yet noise makes the super-resolution ill- conditioned. We surmount this difficulty by incorporating the GT into a modified Papoulis- Gerchberg iteration algorithm. This is possible because the GT is a local Fourier transform (FT), it matches the localized object signal (object size one unit) but mismatches the global nature of noise. In a practical case of a photon-limited signal having a signal to noise ratio as low as 1.3, our approach recognizes a simulated missile plume. We also show additional resolution can be gained if the radar backscattering from the nozzle and other scatterers is fused with the spatially resolved single image pixel.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harold H. Szu and Joseph P. Garcia "Sensor fusion for wide-area surveillance", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); https://doi.org/10.1117/12.236023
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