Radar Target Identification Using an Eigen-Image Approach
نویسنده
چکیده
In support of the ARPA-sponsored Critical Mobile Target (CMT) program, MIT Lincoln Laboratory has developed a complete, end-to-end, 2-D SAR automatic target recognition (ATR) system. This baseline ATR system performs three basic functions: First, a CFAR (constant false alarm rate) detector locates candidate targets in a SAR image on the basis of radar amplitude. Next, a target-size matched filter is used to accurately locate the candidate targets and determine their orientation; textural discriminants (fractal dimension, standard deviation, and ranked fill ratio) are then used to reject naturalclutter false alarms [1]. Finally, a pattern-matching classifier is used to reject cultural false alarms (manmade clutter discretes) and classify the remaining detections.
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