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The method for water body information extraction in complex environment using GF-1 WFV images

机译:使用GF-1 WFV图像对复杂环境中的水体信息提取方法

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Water body is one of the most active and important earth resources, and which has a profound impact on the natural system and human society. In order to acquire surface water body information quickly, accurately and efficiently, the method of water body information extraction using remote sensing imagery has attracted the attention of many searchers. On the basis of sorting out relevant research results of water body information extraction using remote sensing imagery, this paper proposed the method of water body information extraction based on the tasseled cap transformation for complex environments such as shadow and dense vegetation. First, radiometric calibration and atmospheric correction were carried out for remote sensing images. Then, the tasseled cap transformation was performed to obtain the greenness component and wetness component. Finally, the model of water body information extraction based on the tasseled cap transformation was constructed, and the water body information was extracted. In a region of Hunan province, China, the experiment using GF-1 WFV remote sensing image shows that the extracted water body information has a clear boundary and complete shape, and the Kappa coefficient, overall accuracy and user accuracy are 0.89, 92.72%, and 88.04%, respectively.
机译:水体是最活跃和最重要的地球资源之一,对自然系统和人类社会产生了深远的影响。为了快速,准确,高效地获得地面水位信息,使用遥感图像的水体信息提取方法引起了许多搜索者的注意。基于使用遥感图像进行水体信息提取的相关研究结果,本文提出了基于流苏帽改造的水体信息提取方法,为阴影和茂密的植被等复杂的环境。首先,对遥感图像进行辐射校准和大气校正。然后,进行流苏帽转化以获得绿色成分和湿度组分。最后,构建了基于流苏帽变换的水体信息萃取模型,提取水体信息。在中国湖南省的一个地区,使用GF-1 WFV遥感图像的实验表明,提取的水体信息具有清晰的边界和完整的形状,κ系数,总体精度和用户准确性为0.89,92.72%,分别为88.04%。

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