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Geographic Unit Sequences Based Remote Sensing Image Analysis: A Case Study of Sichuan, China

机译：基于地理单元序列的遥感图像分析 - 以四川，中国为例

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摘要

Based on the analysis of the existing problems in pixel-based image processing and object based image analysis (OBIA), this paper proposed a Geographic Unit Sequences (GUS) based image analysis approach, designed to apply geographic ontology knowledge to object based image analysis, so that the image analysis results become the carriers of geographic principle rather than the distribution of land cover. This method consists of two steps: one is the construction of GUS, introducing the geographic ontology knowledge and specialist experience knowledge to guide the image analysis process; the other is the hybrid object based image analysis of bottom-up data-driven way and up-bottom knowledge-driven way. The proposed analysis method proved to be of high accuracy by the application in Xiang'E, Sichuan area with high resolution RS images. Finally, we summarized the advantages of the method verified by the application and give certain recommendations concerning practical use of proposed method.
机译：基于对基于像素的图像处理和基于对象的图像分析（OBIA）的现有问题的分析，提出了基于地理单元序列（GUS）的图像分析方法，旨在将地理本体知识应用于基于对象的图像分析，因此，图像分析结果成为地理原理的载体而不是陆地覆盖的分布。该方法包括两个步骤：一个是GUS的构建，介绍地理本体知识和专业经验知识引导图像分析过程;另一个是自下而上的数据驱动方式和上下知识驱动方式的混合对象基于图像分析。所提出的分析方法通过高分辨率RS图像的辛川地区的应用被证明是高精度。最后，我们总结了申请验证的方法的优势，并提供了有关拟议方法的实际使用建议。

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