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A THEMATIC MAP FOR UPM, ENGINEERING CAMPUS PRODUCED BY OBJECT-BASED CLASSIFICATION METHOD

机译:基于对象分类方法的UPM工程图专题图

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Thematic maps generated by image classification process are useful for numerous geospatial applications such as urban planning, natural disasters, site selection, and change detection. This study proposed a classification workflow based on object-based analysis forproducing thematic maps from Worldview-2 satellite data. The image was segmented by multiresolution segmentation algorithm in eCognition software and image objects were classified by support vector machine. Results indicate that the propose method is suitable for thematic map creation. The overall accuracy achieved in this study was 89.9% and the kappa was 0.86. Findings indicate the usefulness of the object-based image analysis for very high-resolution image processing and producing thematic maps at small and medium scales. Future works should focus on optimization of parameters required by algorithms and improving the segmentation results.
机译:通过图像分类过程生成的专题图可用于众多地理空间应用,例如城市规划,自然灾害,站点选择和变更检测。这项研究提出了一种基于对象分析的分类工作流程,用于从Worldview-2卫星数据中生成主题地图。在eCognition软件中通过多分辨率分割算法对图像进行分割,并通过支持向量机对图像对象进行分类。结果表明,该方法适用于专题图的创建。在这项研究中,整体准确率为89.9%,kappa为0.86。研究结果表明,基于对象的图像分析对于超高分辨率图像处理和生成中小比例尺专题图的有用性。未来的工作应该集中在算法所需参数的优化和改进分割结果上。

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