仿真实验结果看出，该方法在训练样本数相对较少的情况下，仍然具有较高的检测率和正确率，同时也具有较低的虚警率。
Then simulation results express this method has better detection rate, overall accuracy and false positive rate reduced with less training sample size.
在基于支持向量机的遥感影像目标检测中，因为有限的目标样本和相对复杂的背景，造成检测结果的虚警率偏高。
For RS object detection based on SVMs, the false alarm rate is commonly high because of limited object samples and relative complex background.
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