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Extraction of water-body in remote sensing image based on logic operation

机译:基于逻辑运算的遥感图像水体提取

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In this paper, we put forward an approach to extract water-body in remote sensing image using logic operation defined by ourselves. In order to use this method to extract water-body, firstly, NDVI was calculated from multi-spectral image, and vegetation was removed by a certain threshold; Secondly, artificial buildings, cultivated land, cloud, and bare land were extracted according to the spectral signature among different bands of various objects; Finally, water-body was accurately labeled by the logic operation between images of water-body and other objects. The experiment on a LANDSAT TM imagery of the District of Poyang Lake, China's largest freshwater lake, including different types of water-bodies was carried out and the result indicated that it could effectively distinguish water-body pixels from non-water-body pixels, and it also could effectively exclude the negative influence of shadow of thin cloud. The experiment obtained high accuracy for the extraction of water-body in TM imagery.
机译:在本文中,我们提出了一种使用我们自己定义的逻辑运算来提取遥感图像中水体的方法。为了利用该方法提取水体,首先从多光谱图像中计算出NDVI,并以一定的阈值去除植被。其次,根据不同物体不同波段之间的光谱特征,提取出人造建筑,耕地,云层和裸地。最终,通过水体和其他物体图像之间的逻辑运算来准确标记水体。在包含不同类型水体的中国最大的淡水湖of阳湖区进行LANDSAT TM图像实验,结果表明该方法可以有效地区分水体像素和非水体像素,并且还可以有效地消除薄云阴影的负面影响。实验获得了TM图像中水体提取的高精度。

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