The paper presents an unsupervised segmentation model based on multiple level sets evolution for high resolution satellite imagery.
提出多水平集演化的非监督高分辨率影像分割模型，避免传统多水平集方法中的区域重叠问题。
On the basis of existing AMLE algorithm, this algorithm saves the bound data of image level sets and uses the method of processing scale by scale to reconstruct image.
该算法在原有AMLE算法的基础上，保留图像水平集的边界数据，采用逐层处理方法实现图像重构。
Through fuzzy interval arithmetic based on level sets and optimistic index the entropy weight is given, then the thesis analyses and evaluates maintenance project according to entropy weight.
根据水平截集和乐观指标，进行模糊区间运算，从而得出熵权，再根据熵权的大小对检修方案进行分析与评判。
The following CSS removes the border on the second nav level, sets the active subnav to always display, and sets the inactive subnavs to display when their parents are hovered.
下面的CSS样式删除了子菜单上的边框，设置活动的菜单项一直显示，并且设置非活动的菜单项，只在它们的父级菜单被鼠标经过时显示。
The following CSS removes the border on the second nav level, sets the active subnav to always display, and sets the inactive subnavs to display when their parents are hovered.
下面的CSS样式删除了子菜单上的边框，设置活动的菜单项一直显示，并且设置非活动的菜单项，只在它们的父级菜单被鼠标经过时显示。
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