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基于数学形态学的海岛水边线提取模型 被引量:3

Extraction Model for Island Waterlines Using Mathematical Morphology
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摘要 针对遥感影像数据大面积覆盖的特性,利用数学形态学提出了一种多目标海岛水边线的同步提取模型,模型包括:利用K-means算法的海岛区域粗分割;基于灰度膨胀算法的海岛初始轮廓曲线确立;利用水平集算法的海岛水边线优化。以福州海域的多目标海岛水边线提取为例,将本文模型与K-means模型、二值化高斯滤波水平集模型(SBGFRLS)和基于改进水平集的海岛边界快速分割模型(ILSM-IBRS)进行了比较。结果表明,本文模型弥补了K-means模型的过分割现象,其计算耗时较SBGFRLS和ILSM-IBRS模型分别节省了96.16%和86.96%;其迭代次数分别减少了97.07%和90.59%。由此可见,本文模型解决了现有提取模型效率低、过分割等现象,实现了多目标海岛水边线的同步提取,为海岛普查等提供了一种快速提取方法。 For the large-area coverage of remote sensing image,a multi-island waterlines synchronous extraction model is proposed by mathematical morphology.The model includes tree aspects:(1)Coarse segmentation of islands are extracted based on K-means algorithm;(2)Initial curves of islands are optimized by the gray-scale dilations algorithm;and(3)Island waterline is optimized based on the level set algorithm.Taking the island waterline extraction of Fuzhou sea area as an example,the improved extraction model is compared with K-means model,selective binary and Gaussian filtering regularized level set model(SBGFRLS)and improved level set model for island boundary rapid segmentation(ILSM-IBRS).The result shows that,the segmentation accuracy of the improved extraction model proposed makes up for the over-segmentation of the K-means model.Compared with the SBGFRLS and ILSM-IBRS models,its calculation time is saved by 96.16% and 86.96% respectively;the number of iterations is reduced by 97.07% and 90.59% respectively.In short,the proposed model overcomes the low efficiency and over-segmentation of the traditional segmentation methods,realizes the synchronous extraction of multi-island waterlines,and presents a rapid method for island census.
作者 王振华 何婉雯 钟元芾 刘智翔 宋巍 栾奎峰 WANG Zhenhua;HE Wanwen;ZHONG Yuanfu;LIU Zhixiang;SONG Wei;LUAN Kuifeng(College of Information Science,Shanghai Ocean University,Shanghai 201306,China;College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China)
出处 《海洋测绘》 CSCD 2020年第5期45-48,62,共5页 Hydrographic Surveying and Charting
基金 国家自然科学基金(61972240) 上海市地方院校能力建设项目(19050502100) 上海市海洋局科研项目(沪海科2020-05)。
关键词 遥感影像 海岛 水边线提取 灰度膨胀 分割模型 数学形态学 remote sensing image island waterline extraction gray-scale dilation segmentation model mathematical morphology
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