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A Novel Water Index for Extraction of Water Features using Landsat-8 Images in Prayagraj District, India

机译:印度Prayagraj区使用Landsat-8影像提取水特征的新型水指数

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The satellite images can be categorized in three classes on the basis of the spectral bands, viz., panchromatic, multispectral and hyprspectral. The multispectral imageries are very useful in the feature extraction and enhancement, the combination of bands creates magical effect not only to delineate some features but also to eliminate the others. Several water indices on the basis of band combinations have been proposed by the researchers for the open surface water detection. In the present work a new index has been proposed for open surface water detection from landsat-8 satellite imagery. The proposed index can detect the water class more efficiently as compared to the existing indices which has been supported by the quantitative data. The results are validated in terms of the number of pixels of water class with an accuracy of 99.77%.
机译:可以根据光谱带将卫星图像分为三类,即全色,多光谱和高光谱。多光谱图像在特征提取和增强中非常有用,波段的组合产生了神奇的效果,不仅勾勒出某些特征,而且消除了其他特征。研究人员已经提出了基于波段组合的几种水指数,用于露天表层水的检测。在目前的工作中,已经提出了一个新的指数,用于从Landsat-8卫星影像中探测裸露的地面水。与定量数据所支持的现有指标相比,所提出的指标可以更有效地检测水质。根据水类像素数验证了结果,准确性为99.77%。

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