Edge Detector of SAR Images Using Crater-Shaped Window With Edge Compensation Strategy

By introducing a crater-shaped window (CSW) instead of the traditional square-shaped window (SSW), an edge detector with low false positive rate is proposed to rapidly extract thin edges of synthetic aperture radar images. For further refining the true positive rate, we skillfully introduce an edge compensation strategy. Using the CSW, the square successive difference of averages is calculated. Then, edge compensation strategy is used. The CSW has low sidelobe and high localization accuracy to ensure that a detector has low false positive rate. Moreover, by using edge compensation strategy, boundaries between two similar homogeneous areas can be easily extracted. The proposed detector, hence, has high true positive rate. Both objective and subjective experiment results show that the edge detector using CSW and having edge compensation strategy attains better performance than one using SSW and without edge compensation strategy.

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