Introduction - If you have any usage issues, please Google them yourself
The key of ship detection in sea infrared image with complex clutter background is how to
reduce false alarms and detect true targets.In order to achieve this aim,a novel algorithm is proposed.
First,Haar wavelet transform technology is used as preprocessing,then constant false alarm rate(CFAR)
detetion,then run-length label to mark objects detected by the above step,finally pipeline filter to reduce
false alarms and detect true targets.Experiment results indicate that this method can effectively reduce false alarms and detect true targets in complicated sea background.