Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach
Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach
复制标题
DOI：
10.1109/igarss.2015.7325947
复制
发表时间：
2015-04
期刊：
影响因子：
--
通讯作者：
Jinchang Ren;B. Hwang;P. Murray;Soumitra Sakhalkar;Samuel McCormack
中科院分区：
文献类型：
--
作者：
Jinchang Ren;B. Hwang;P. Murray;Soumitra Sakhalkar;Samuel McCormack
从卫星合成孔径雷达（SAR）图像中精确分割海冰对于了解北极海冰、海洋和大气之间的相互作用具有重要作用。由于海冰SAR图像空间分辨率低，相干斑噪声严重，海冰SAR图像的处理具有挑战性。本文提出了一种多阶段海冰SAR图像分割方法，包括边缘保持滤波预处理、k均值聚类分割和条件形态学滤波后处理。因此，噪声的影响已经被抑制，并且成功地校正了欠分割区域。
Accurate sea-ice segmentation from satellite synthetic aperture radar (SAR) images plays an important role for understanding the interactions between sea-ice, ocean and atmosphere in the Arctic. Processing sea-ice SAR images are challenging due to poor spatial resolution and severe speckle noise. In this paper, we present a multi-stage method for the sea-ice SAR image segmentation, which includes edge-preserved filtering for preprocessing, k-means clustering for segmentation and conditional morphology filtering for post-processing. As such, the effect of noise has been suppressed and the under-segmented regions are successfully corrected.