In this paper three-dimensional (3-D) finite-impulse response (FIR) filters are proposed for moving target detection and tracking from multiframe space-based infrared (SBIR) data. An optimal, in the l/sub p/ sense, 3-D FIR filter design technique is proposed which is suitable for the above application. This technique is the first 3-D FIR design of its kind presented in the open literature. Directional, matched, and adaptive 3-D filtering techniques are proposed. Prior to the filtering, clutter mean estimation and mean subtraction are required. Real time implementation of directional and/or matched filters for processing maneuvering targets is discussed and filter design methods are proposed. Finally, performance comparisons of the proposed and other available 3-D FIR and infinite-impulse response (IIR) filters, on real SBIR data, are presented in which the advantages of the proposed 3-D filters are shown.<>
Filtering of moving targets using SBIR sequential frames
IEEE Transactions on Aerospace and Electronic Systems ; 31 , 4 ; 1255-1267
01.10.1995
2284659 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Filtering of Moving Targets Using SBIR Sequential Frames
Online Contents | 1995
|Emendation to: Filtering of Moving Targets Using SBIR Sequential Frames
Online Contents | 1996
|Emendation to: Filtering of Moving Targets Using SBIR Sequential Frames [correspondence]
IEEE | 1996
|NTIS | 2008
|NTRS | 2008
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