For RS object detection based on SVMs, the false alarm rate is commonly high because of limited object samples and relative complex background.
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。
Since the false alarms and occlusions necessarily occur and degrade the detection performance in practical applications, an evidence image is aggregated to validate the abandoned object.
最后，通过累加证据图像来处理实际应用中的虚警和遮挡问题并证实遗失目标。
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