Abstract
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. © 1999 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 1104-1106 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1999 |
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