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Method of Segmenting River from Remote Sensing Image

机译：基于遥感影像的河流分割方法

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This paper presents a method of segment the river area in remote sensing images. The spectral distribution of the river area in the image is relatively uniform, and the overall gray level is dark, And the spectrum is evenly distributed regardless of direction, but land area spectral information is very messy, most of the land in the regional spectral distribution is not uniform, maybe some land area spectral distribution is more uniform, but has a certain direction, this paper according to these characteristics, using the cross-type template, the regional variance is used as the regional texture characteristic to obtain the adaptive threshold to obtain the adaptive binary graph. The river is usually a connected water, only a large enough area to determine the river, so the use of binary image marking algorithm to obtain the largest connected area, marked as a river. This paper presents the method of river segmentation. Experiments show that the river segmentation is suitable for remote sensing images with relatively large river regions.
机译：本文提出了一种在遥感图像中分割河流区域的方法。图像中河流区域的光谱分布比较均匀，整体灰度较暗，光谱分布不分方向，但土地光谱信息却很杂乱，大部分土地在区域光谱分布中是不均匀的，也许某些陆地区域的光谱分布更均匀，但是具有一定的方向，本文根据这些特征，使用交叉型模板，将区域方差作为区域纹理特征来获得自适应阈值。获得自适应二元图。河流通常是连通水，只有足够大的面积才能确定河流，因此使用二值图像标记算法来获得最大的连通面积，标记为河流。本文提出了河流分割的方法。实验表明，河流分割适用于较大河流区域的遥感图像。

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