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A Study of application of Rough Sets Theory in vegetation classification of remote sensing image

机译:粗糙集理论在遥感图像植被分类中的应用研究

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During the recent years, the topic of image classification has become more complex but inspiring with the development of subjects such as nerve network, and genetic algorithm. Under such a condition, many scholars are working toward a more intelligent method of image classification. This study provides a review of latest development and achievement of RS, combined with artificial nerve network, application to vegetation classification of image. A case study is also conducted in our analysis.
机译:近年来,图像分类主题变得更加复杂,而且随着神经网络等受试者的发展而令人振奋的思考。 在这种情况下,许多学者正在朝着更智能的图像分类方法。 本研究提供了对Rs,与人工神经网络相结合的最新发展和成就的审查,适用于图像的植被分类。 在我们的分析中也进行了一个案例研究。

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