Estimation of Free Parameters of Morphological Profiles for Building Extraction Using SAR Images

Fateme Amjadipour, H. Ghassemian, M. Imani
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Abstract

Nowadays, one of the most challenging issues in the field of remote sensing and satellite imagery is production of cadastral maps. Synthetic aperture radar (SAR) images are among the most widely used satellite images in the last decade. Due to radar nature of these images, the buildings in SAR images face with two problems: shadow and layover. Morphological mathematics are efficient tools for detection of buildings with providing a contextual profile containing shape and geometrical characteristics of the objects in radar images. By using the suggested method, two characteristics of shadow and brightness are detected separately. Then, the construction areas are extracted by using a fuzzy fusion approach. In this method, various parameters such as size and direction of the structural element and the weighting factor of the shadow, bright area, and the recursive parameter have to be determined independently. To this end, an iterative method using MSE is suggested. The experimental results show a detection rate of 94.3% achieved by the proposed method.
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基于SAR图像的建筑物形态轮廓自由参数估计
目前,地籍地图的制作是遥感和卫星成像领域最具挑战性的问题之一。合成孔径雷达(SAR)图像是近十年来应用最广泛的卫星图像之一。由于SAR图像的雷达特性,建筑物在SAR图像中面临两个问题:阴影和滞留。形态数学是检测建筑物的有效工具,它提供了包含雷达图像中物体形状和几何特征的上下文轮廓。采用该方法分别检测了图像的阴影和亮度两个特征。然后,采用模糊融合方法提取建筑区域;在该方法中,需要独立确定结构单元的大小和方向以及阴影、明亮区域的权重因子、递归参数等各种参数。为此,提出了一种基于均方误差的迭代方法。实验结果表明,该方法的检测率为94.3%。
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