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Urban Build-Up Building Change Detection Using Morphology Based on GIS

机译:基于GIS的形态学,城市建设建筑改变检测

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Rapid urbanization has significant impact on resources and urban environment. In this study, building growth change detection is investigated. To accurate the position of building extraction index, image registration is used that seeks to remove the two-date geometric inconsistent angle with the use of control point selection of latitude and longitude on geographic coordinate system. It is significantly reduce error rates and improve overall accuracy of change detection process. The modified Morphological Building Index (MBI) is applied to extract building features to know how much area has changed. In this system, height information is not considered for building extraction because of without using multispectral band images and Depth. Then, matching-based change rule is applied to obtain changes area of urban region. The experiments show that the proposed method can achieve satisfactory correctness rates with a low level of error rate by comparing with Change Vector Analysis (CVA) method.
机译:快速城市化对资源和城市环境产生重大影响。在这项研究中,研究了建立生长变化检测。为了准确构建提取指标的位置,使用图像配准,寻求在地理坐标系上使用控制点选择纬度和经度的控制点选择来删除双日几何不一致角度。它显着降低了误差率,提高了变化检测过程的整体精度。修改的形态建筑指数(MBI)被应用于提取建筑功能,以了解已发生变化的区域。在该系统中,由于不使用多光谱带图像和深度,不考虑建筑提取的高度信息。然后,应用基于匹配的变化规则来获得城市区域的变化区域。实验表明,通过与变化载体分析(CVA)方法相比,该方法可以通过比较来实现令人满意的正确率率。

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