Improved SAR target detection via extended fractal features

The utility of the extended fractal (EF) feature is evaluated for the enhancement of the focus of attention (FOA) stage of a synthetic aperture radar (SAR) automatic target recognition (ATR) system. Unlike more traditional SAR detection features that distinguish target pixels from the background onl...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2001-04, Vol.37 (2), p.436-451
Main Author: Kaplan, L.M.
Format: Article
Language:English
Subjects:
Aircraft components
Algorithms
Computer vision
Electronic systems
Focusing
Fractal analysis
Fractals
Image databases
Object detection
Pixels
Radar detection
Spatial databases
Synthetic aperture radar
Target recognition
Testing
Utilities
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Summary:The utility of the extended fractal (EF) feature is evaluated for the enhancement of the focus of attention (FOA) stage of a synthetic aperture radar (SAR) automatic target recognition (ATR) system. Unlike more traditional SAR detection features that distinguish target pixels from the background only on the basis of contrast, the EF feature is sensitive to both the contrast and size of objects. Furthermore, the structure for the EF feature computational algorithm lends itself to very fast implementation, and it can be shown that the new feature has a CFAR-like (constant false alarm rate) property. We demonstrate the improved performance using the new feature by testing a number of different detection approaches over two databases of SAR imagery.
ISSN:0018-9251
1557-9603
DOI:10.1109/7.937460