On sand ripple detection in synthetic aperture sonar imagery
On sand ripple detection in synthetic aperture sonar imagery
复制标题
合成孔径声纳成像中的沙纹检测
DOI：
10.1109/icassp.2010.5495340
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
E. Coiras
中科院分区：
文献类型：
--
作者：
David P. Williams;E. Coiras
提出了一种合成孔径声呐（SAS）图像中沙纹探测模型。该方法是基于在不同方向和不同长度尺度上搜索以三个高光-阴影对为特征的模式-对应于波纹波峰和波谷。该模型还提供了检测到的任何波纹方向的估计。由于波纹的基本物理现象是直接建模的，因此不需要训练数据。在五张真实的SAS图像上证明了该方法的前景，在保持非常低的虚警率的同时，实现了高概率的（纹波）检测。
A model for the detection of sand ripples in synthetic aperture sonar (SAS) imagery is proposed. The approach is based on searching for patterns characterized by three highlight-shadow pairs — corresponding to ripple-wave crests and troughs — at different orientations and at different length-scales. The model also provides an estimate of the orientation of any ripples detected. No training data is required as the underlying physical phenomenon of ripples is modeled directly. The promise of the proposed method is demonstrated on five real, measured SAS images, for which a high probability of (ripple) detection is achieved while maintaining a very low false alarm rate.