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首页> 外文期刊>International journal of system control and information processing >Classification of remote sensing images from urban areas based on fuzzy system
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Classification of remote sensing images from urban areas based on fuzzy system

机译：基于模糊系统的城市遥感影像分类

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摘要

The problem of classification of high-resolution remotely sensed images from urban areas is addressed. This work proposed a new method based on fuzzy system to recognise different areas in a remote sensing image. Previous studies have shown the interest of exploiting the local geometrical information of each pixel to improve the classification. This is performed using the Derivative Morphological Profile (DMP) obtained with a granulometric approach, using opening and closing operators respectively. In this paper, I present an interpretation of the DMP and then explain the fuzzy method which is pixel wise, in which histogram of grey scale image is used to determine which type of membership function has to be used.
机译：解决了来自城市地区的高分辨率遥感图像的分类问题。这项工作提出了一种基于模糊系统的新方法来识别遥感图像中的不同区域。先前的研究表明，有兴趣利用每个像素的局部几何信息来改善分类。这是通过使用粒度法获得的衍生形态学轮廓（DMP）来执行的，分别使用打开和关闭操作符。在本文中，我对DMP进行了解释，然后说明了像素级模糊方法，其中使用灰度图像的直方图确定必须使用哪种隶属函数。

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