Under the assumption that the sea bottom is an almost-flat and randomly rough thin layer, a spatial correlation model for bottom reverberation was constructed.
在海底是起伏不大的非均匀薄层的假设条件下，建立了底混响空间相关函数模型。
Side-scan sonar image (SSI) must be segmented into regions of shadow, sea-bottom-reverberation, and object-highlight before underwater object can automatically be detected and recognized.
为了利用侧扫声呐进行水下目标自动探测和识别，首先必须将声呐图像分为目标高亮区、海底混响区和目标阴影区。
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