Natural clutter suppression using adaptive FIR filtering with application to dual-band infrared imaging
نویسنده
چکیده
The application of adaptive filtering for the suppression of naturally occurring clutter in infrared images generated by a dual-band imaging sensor is investigated. Two natural occurring clutter types, namely sea and cloud clutter are examined in detail. The LMS FIR filtering technique is evaluated against these clutter types. By applying a 1 × 1 (1 filter tap) adaptive filter on a per row basis to sea and cloud clutter scenarios, target signal-to-clutter-ratio gains of between 70 % and 180 % were obtained.
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تاریخ انتشار 2003