Landsat 8影像水边线提取方法比较研究
发布时间：2018-12-12 21:04
【摘要】：传统的海岸线调绘方法比较费时、费力,而且资金消耗巨大,因而会逐渐被遥感技术所取代。本文利用Landsat 8的OLI数据提取长江入海口处的九段沙水边线。由于水体、土壤等地物的光谱特征不同,所以可以选择不同的方法进行提取。本文选用了灰度阈值法、边缘检测法中的Soble算子和Roberts算子、改进的归一化水体差异指数(MNDWI)等方法对水边线进行提取研究,并对结果进行比较分析。发现Landsat 8中的第一波段有利于水边界线提取,边缘检测中的Soble算子提取的九段沙水边线可以得到较好的结果。
[Abstract]:The traditional shoreline mapping method is time-consuming, laborious and expensive, so it will be replaced by remote sensing technology. In this paper, the Landsat 8 OLI data are used to extract the sand and water boundary of Jiuduan at the mouth of the Yangtze River. Because the spectral characteristics of water and soil are different, different methods can be used to extract them. In this paper, the grayscale threshold method, the Soble operator and the Roberts operator in the edge detection method and the improved normalized water difference index (MNDWI) are used to extract the water edge, and the results are compared and analyzed. It is found that the first band in Landsat 8 is beneficial to the extraction of water boundary, and the Soble operator in edge detection can get better results.
【作者单位】： 山东科技大学测绘科学与工程学院;山东省3S工程技术研究中心;山东省基础地理信息与数字化技术重点实验室;
【分类号】：P237
[Abstract]:The traditional shoreline mapping method is time-consuming, laborious and expensive, so it will be replaced by remote sensing technology. In this paper, the Landsat 8 OLI data are used to extract the sand and water boundary of Jiuduan at the mouth of the Yangtze River. Because the spectral characteristics of water and soil are different, different methods can be used to extract them. In this paper, the grayscale threshold method, the Soble operator and the Roberts operator in the edge detection method and the improved normalized water difference index (MNDWI) are used to extract the water edge, and the results are compared and analyzed. It is found that the first band in Landsat 8 is beneficial to the extraction of water boundary, and the Soble operator in edge detection can get better results.
【作者单位】： 山东科技大学测绘科学与工程学院;山东省3S工程技术研究中心;山东省基础地理信息与数字化技术重点实验室;
【分类号】：P237
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