基于形态学阴影和建筑算子的VHR图像建筑提取

Krishnavir Singh, A. Mehrotra
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引用次数: 3

摘要

提出了一种用于超高分辨率卫星图像的建筑物自动提取方法。提出了两种分别用于提取阴影和建筑物的微分形态阴影算子(DMSO)和微分形态建筑算子(DMBO)。该方法使用DMSO识别阴影。在遮挡阴影后,应用DMBO得到候选建筑。使用阴影测试、形状指数(SI)、面积和矩形拟合等四个参数对候选建筑进行过滤,以消除错误检测并仅获得建筑物。对Geoeye-1获取的两幅VHR卫星图像进行了验证。所提出的方法的结果与其他两种最先进的方法进行了比较,并观察到所提出的方法优于其他两种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building extraction from VHR imagery using Morphological Shadow and Building Operator
An automatic building extraction method for very high resolution satellite images is presented in this paper. Two novel operators Differential Morphological Shadow Operator (DMSO) and Differential Morphological Building Operator (DMBO) for extracting shadows and buildings respectively are proposed. The method identifies shadows using DMSO. After masking out the shadow, DMBO is applied to obtain the building candidates. The building candidates are filtered using four parameters including shadow test, Shape Index (SI), area and rectangular fit to remove false detections and obtain only buildings. The proposed method was tested on two VHR satellite images acquired by Geoeye-1.The results of the proposed method were compared with two other state of the art methods and it was observed that the proposed method outperformed the other two methods.
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