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An Object-oriented Extraction Method of Arable Land Information based on a Combination of Watershed and Multi-scale

机译:分水岭与多尺度相结合的面向对象的耕地信息提取方法

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Based on analyzing the multi-scale segmentation technique of watershed transform, by combining the multiple features of textured images, spectra and shape, an integrated image segmentation method of a combination of watershed and multi-scale can be presented. This article is combined with object-oriented technology, and applied it to extracting the information of arable land in Guangxi. The paper aims to establish classification system to solve the problem of extracting feature information by extracting the feature or feature combination of the class. The experimental result showed that the object-oriented extraction method of arable land information based on a combination of watershed and multi-scale could be better to realize extract and apply the information of high resolution remote sensing image.
机译:基于分析流域变换的多尺度分割技术,通过组合纹理图像,光谱和形状的多个特征,提出了流域和多尺度组合的集成图像分割方法。本文与面向对象的技术相结合,并应用于广西耕地的信息。本文旨在建立分类系统来解决通过提取类的特征或特征组合来解决提取特征信息的问题。实验结果表明,基于流域和多尺度组合的耕地信息的面向对象提取方法可以更好地实现提取物并应用高分辨率遥感图像的信息。

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