基于星载SAR影像的苏北地区海岸线提取研究

Research on Extraction of Coastline in North Jiangsu Based on Spaceborne SAR Image

介绍了K-means聚类分割法和形态学处理,并对比了几种边缘算子;针对Prewitt算子和Roberts算子在像素点邻近区域内受噪声影响较大、边缘检测效果不佳的问题,选用Canny算子提取海岸线。首先对SAR影像进行K-means算法、形态学处理,再采用Canny算子提取海岸线。与其他边缘提取算法相比,该方法提取的海岸线连续性较好,平滑度也十分优秀,与真实的海岸线吻合度较高。

In this paper,we introduced K-means clustering segmentation-algorithm and the morphological processing,and compared several edge operators.To solve the problems that the Prewitt operator and Roberts operator were strongly affected by noise in the vicinity of pixel points and the edge detection effect was poor,we used Canny operator to extract the coastline.Firstly,we used K-means algorithm and the morphology to process the SAR images.And then,we used Canny operator to extract the coastline.Compared with other edge extraction algorithms of the same type,the proposed method has good coastline continuity,excellent smoothness and high degree of coincidence with real coastline.