1 May 2000 Improving the false alarm capabilities of the maximum average correlation height correlation filter
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we show that the maximum average correlation height (MACH) correlation filter overemphasizes the importance of the average training image leading to poor discrimination of the desired class images from clutter images. To overcome this, two new metrics termed the all image correlation height (AICH) and the modified average similarity measure (MASM) are introduced and optimized in a new correlation design. The resulting filter exhibits improved clutter rejection performance while retaining the attractive distortion tolerance feature of the MACH filter. Simulation results based on a simulated synthetic aperture radar (SAR) image database are presented to illustrate the new filter's properties.
Mohamed Alkanhal, Bhagavatula Vijaya Kumar, and Abhijit Mahalanobis "Improving the false alarm capabilities of the maximum average correlation height correlation filter," Optical Engineering 39(5), (1 May 2000). https://doi.org/10.1117/1.602492
Published: 1 May 2000
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Cited by 39 scholarly publications.
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KEYWORDS
Image filtering

Synthetic aperture radar

Distortion

Linear filtering

Tolerancing

Automatic target recognition

Mahalanobis distance

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