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Classification of Remote Sensing Image Based on Different Similarity Measures

机译:基于不同相似措施的遥感图像分类

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Advanced wide field sensor (AWiFS) is a multi-spectral camera used to capture image from IRS-P6 (Indian remote sensing) satellite. Iterative self-organizing data analysis technique (ISODATA) is one of the most frequently used unsupervised classification algorithms. There are too many techniques available for classifying an image. In this paper, we will use similarity-based techniques to classify an image. Then, we will compare the result of each similarity measure classification techniques. We will use normalized difference vegetation index (NDVI) values to classify the images.
机译:先进的宽场传感器(AWIFS)是一种多光谱相机,用于捕获IRS-P6(印度遥感)卫星的图像。迭代自组织数据分析技术(ISODATA)是最常用的无监督分类算法之一。有太多技术可用于分类图像。在本文中,我们将使用基于相似性的技术来分类图像。然后,我们将比较每个相似度测量分类技术的结果。我们将使用归一化差异植被指数(NDVI)值来分类图像。

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