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Coastline Identification from Remote-sensing Image Using Informative Vector Machine Learning

机译:来自遥感图像的海岸线识别使用信息矢量机器学习

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For a more rapid and accurate coastline identification method, this paper presents a method of coastline identification on remote-sensing image using Informative Vector Machine and then the coastline of Beihai Silver Beach in Guangxi has been identified. The results show that method of coastline identification on remote-sensing using Informative Vector Machine avoids the accuracy deficiency of the edge detection and threshold segmentation, and overcomes a series of open problems that difficulty in determining the optimal network topology structure in artificial neural network and the hyper-parameters in Support Vector Machine. The quick and accurate identification of coastline using the method has been realized which provides an efficient mean for the identification and monitoring of coastline.
机译:对于更快速和准确的海岸线识别方法,本文介绍了使用信息矢量机器的远程传感图像的海岸线识别方法,然后已经确定了广西北海银海滩的海岸线。结果表明,使用信息矢量机器遥感的海岸线识别方法避免了边缘检测和阈值分割的精度缺点,并克服了一系列难以确定人工神经网络中最佳网络拓扑结构的开放问题。支持向量机中的超参数。已经实现了使用该方法的快速和准确的海岸线识别,为识别和监测了海岸线提供了有效的平均值。

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