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A Robust Contour Model for Matching Synthetic Aperture Radar (SAR) Images with Maps

机译:一种强大的轮廓模型,用于匹配与地图的合成孔径雷达(SAR)图像

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This paper deals with the registration of images which are subject to translation, rotation, scaling and other geometric transformations. The problem is tackled with a contour-based registration technique. We present a novel approach for finding a representation of planar curves and matching such two representations in this paper. In our framework, the matching of curves is proceeded by 1) using connected equi-length line segments (CELLS) to represent curves, (2) attaching an identification vector to each line segment, which reflects the distribution of the rest of line segments with respect to the current one using orientation difference between cells. A new matrix called Orientation Difference Matrix (ODM) has been constructed from the identification vectors. This approach uniquely specifies a curve and the representation for matching is invariant under rotation, scaling and translation of the curve. A practical use of the proposed approach is demonstrated by registering a SAR image of a certain area to a map.
机译:本文涉及经过翻译,旋转,缩放和其他几何变换的图像的注册。用基于轮廓的登记技术解决问题。我们提出了一种寻找平面曲线的代表性的新方法,并在本文中匹配这种两个表示。在我们的框架中,使用连接的Equi长线段(单元)来提出曲线的匹配来表示曲线,(2)将识别向量附加到每个线段,这反映了其余线段的分布尊重当前一个细胞之间的方向差异。已经从识别向量构建了一种名为方向差矩阵(ODM)的新矩阵。该方法唯一地指定曲线,匹配的表示是在旋转,缩放和曲线的转换下不变。通过将特定区域的SAR图像注册到地图,证明了所提出的方法的实际使用。

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