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Edge Detection in Remote Sensing Image Based on the Advanced Snake Algorithm

机译:基于高级蛇算法的遥感图像中的边缘检测

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The paper takes an advanced snake algorithm to make research on the edge detection in order to improve the automatic analysis of the computer and select the objects interested in the remote sensing image. Edge detection by the algorithm is the process of image gradient characteristic, continuity, flatness, and shape information constrained into an energy function. We can achieve the goal of objective selection by calculation the minimum of the energy function. In the water quality monitoring of the Yalu River, the effectiveness of the proposed method and its value of practicality can be confirmed.
机译:本文采用先进的蛇算法来对边缘检测进行研究,以改善计算机的自动分析,并选择对遥感图像感兴趣的对象。边缘检测通过算法是图像梯度特性,连续性,平坦度和形状信息的过程被限制为能量函数。我们可以通过计算能量函数的最小值来实现客观选择的目标。在亚鲁河的水质监测中,可以确认提出的方法的有效性及其实用性价值。

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