
doi: 10.1109/7.784078
Good target detection can be achieved by using shadow feature algorithms, particularly in heavy clutter environments. The performance enhancement of a shadow feature algorithm applied to a maximum likelihood constant false-alarm rate (ML-CFAR) detector is analyzed. Results show that detection performance is significantly improved.
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