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首页> 外文会议>Asian Conference on Remote Sensing >Differences of Coastline Length and Fractal Dimension Between Pixel-level and Sub-pixel Edge Detection of Coastline Extraction: A Case Study of the Eastern Coast of The Pearl River Estuary
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Differences of Coastline Length and Fractal Dimension Between Pixel-level and Sub-pixel Edge Detection of Coastline Extraction: A Case Study of the Eastern Coast of The Pearl River Estuary

机译：海岸线提取像素水平与子像素边缘检测的海岸线长度和分形尺寸的差异：珠江河口东海岸的案例研究

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摘要

Coastline variations reflect the situation of coastal zones. There are many different methods to extract the coastline from remote sensing images. The Canny edge detector is one of the most popular edge detection methods to obtain coastline from remote sensing datasets. Meanwhile, sub-pixel edge detection could provide more precise edge information compared with the pixel-level edge detection method. In this study, we chose the Pearl River Estuary's eastern area, the most complex coast in China, as the study area. We extracted coastlines from Landsat by Zernike and Canny edge detection. To understand the differences between these two methods, we compared the coastline length and fractal dimension of the study area. The length of the coastline extracted by the pixel-level is 108.28 km, while the length of the coastline obtained by the sub-pixel level is 114.11km. From the Fractal Dimension, we found that coastline extracted by sub-pixel edge detection (FD=1.130) is greater than that extracted by pixel-level edge detection (FD= 1.118). Our results show that the sub-pixel edge detection method can extract longer and greater results of coast length and complexity than routine pixel-level edge detection method, suggesting more precise results of costal line length and complexities from sub-pixel methods.
机译：海岸线变体反映了沿海地区的情况。从遥感图像中提取海岸线有许多不同的方法。 Canny Edge Detector是从遥感数据集获得海岸线最流行的边缘检测方法之一。同时，与像素级边缘检测方法相比，子像素边缘检测可以提供更精确的边缘信息。在这项研究中，我们选择了珠江河口东部地区，是中国最复杂的海岸，作为研究区。我们通过Zernike和Canny Edge检测从Landsat提取了海岸线。要了解这两种方法之间的差异，我们比较了研究区域的海岸线长度和分形维数。由像素级提取的海岸线的长度为108.28 km，而子像素水平获得的海岸线的长度为114.11km。从分形尺寸来看，我们发现由子像素边缘检测（FD = 1.130）提取的海岸线大于由像素级边缘检测提取的（FD = 1.118）提取。我们的结果表明，子像素边缘检测方法可以提取较长且更大的海岸长度和复杂性的结果，而不是常规像素级边缘检测方法，表明肋骨线长度和子像素方法的复杂性更精确的结果。

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