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- Method for automatic inland water boundary extraction using remote sensed hyperspectral images

机译:-利用遥感高光谱图像自动提取内陆水域边界的方法

摘要

The present invention relates to a method for automatically extracting a water-land boundary of a freshwater area using a hyperspectral remote sensing image, (a) receiving superspectral image data from an ultraspectral camera by an input device, and preprocessing the image by a preprocessing module ( Radiation correction, atmospheric correction, and geometric correction); (b) the decision tree pre-classification module includes pre-classifying the water region and the land region using the hyperspectral image that has been subjected to the pre-processing, but includes misclassification; (c) the decision tree reclassification module further subdividing the pre-classified and misclassified water region into at least one of water, artificial structures, and land shadows; (d) the decision tree reclassification module is subdivided into the pre-classified and misclassified terrestrial area into at least one of green algae, soil, and vegetation, and (e) the decision tree reclassification module comprises Finally, by combining water and green algae, determining the water area and integrating the rest into the terrestrial area, the decision tree that classifies water and terrestrial from the hyperspectral image is expanded and subdivided. It has the effect of supplementing the problem of land misclassification.
机译:本发明涉及一种使用高光谱遥感图像自动提取淡水区域的水陆边界的方法,(a)通过输入装置从超光谱相机接收超光谱图像数据,并通过预处理模块对该图像进行预处理。 (辐射校正,大气校正和几何校正); (b)决策树预分类模块包括使用已经过预处理但包含错误分类的高光谱图像对水域和陆地区域进行预分类; (c)决策树重分类模块进一步将预先分类和错误分类的水域细分为水,人工结构和土地阴影中的至少一种; (d)将决策树重分类模块细分为预先分类和误分类的陆地区域,将其划分为绿藻,土壤和植被中的至少一种,以及(e)决策树重分类模块包括:最后,通过将水和绿藻合并在确定水域并将其余区域整合到陆地区域后,将根据高光谱图像对水和陆地进行分类的决策树得到扩展和细分。它具有补充土地误分类问题的作用。

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