SAR Sea Ice Image Segmentation Using Watershed with Intensity-Based Region Merging
SAR Sea Ice Image Segmentation Using Watershed with Intensity-Based Region Merging
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DOI：
10.1109/cit.2014.19
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发表时间：
2014-09
期刊：
影响因子：
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通讯作者：
T. Ijitona;Jinchang Ren;B. Hwang
中科院分区：
文献类型：
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作者：
T. Ijitona;Jinchang Ren;B. Hwang
提出了一种基于合成孔径雷达（SAR）的海冰图像分割的海冰浮冰粒径分布检索方法。这个方法包括三个阶段。第一阶段是对SAR图像进行预处理，通过中值滤波去除图像中的斑点噪声。第二阶段涉及使用分水岭变换对图像进行初始分割。第三阶段是基于相邻区域平均强度差函数的区域合并过程。相邻区域由区域邻接图根据两个相邻区域之间最小1像素的距离来定义。通常在合并过程中设置一个阈值，如果相邻区域的平均强度差小于阈值，则合并相邻区域。实验结果表明，该方法能够有效分割SAR冰图像。
A new approach for Synthetic Aperture Radar (SAR) based sea ice image segmentation for the retrieval of floe size distribution (FSD) is proposed. This method consists of three stages. The first stage involves the pre-processing of the SAR image to reduce the speckle noise in the image by median filtering. The second stage involves an initial segmentation of the image using the Watershed transform. The third stage involves a region merging process based on the difference function of the mean intensity of adjacent regions. Adjacent regions are defined by the region adjacency graph based on a minimum distance of 1 pixel between two adjacent regions. A threshold value is usually set for the merging process, if the difference in mean intensity of adjacent regions is less than the threshold, the adjacent regions will be merged. Experimental results have shown the efficacy of the proposed method in effective segmentation of SAR ice images.