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基于Sentinel-2A卫星数据面向对象的水边线提取 -以如东县为例
崔红星, 杨红
上海海洋大学
摘要:
水边线的快速准确提取,对监测海岸带动态变化具有重要意义。使用基于面向对象的方法提取水边线, 分量作为阈值分割条件,Sentinel-2A数据作为提取水边线影像,通过多尺度分割与光谱差异分割组合的方式。对如东沿海的淤泥质海岸、交通围堤海岸和养殖围堤海岸三种不同类型的海岸水边线进行提取。通过提取水边线与影像叠加,并对受潮汐影响较小的水边线做精度验证。总体来说,提取的水边线较为准确。
关键词:  Sentinel-2A  海岸线  面向对象  B分量
DOI:10.11759/hykx20180306001
分类号:P748
基金项目:黄海绿潮业务化预测预警关键技术研究与应用(201205010)
Object-oriented Waterline Extraction Based on Sentinel-2A Satellite Data, a Case Study in Rudong
cuihongxing, yanghong
College of Marine Sciences Shanghai Ocean University
Abstract:
The rapid and accurate extraction of waterline is great significance for monitoring the dynamic changes of the coastal zone. The object-based method was used to extract the waterline, and the B-component was used as the threshold segmentation condition. Sentinel-2A data was used as the extraction image of waterline, and the combination of multi-scale segmentation and spectral difference segmentation were used. Three different types of shoreline waterlines, silty coasts on the east coast, coasts on embankments and aquaculture, were extracted.The waterline was extracted from the image, and the accuracy of the waterline that is less affected by tides was verified. In general, the extracted waterline is more accurate.
Key words:  Sentinel-2A  coastline  object-oriented  B-component
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