基于活动轮廓模型的光学与sar图像配准

Hui Li, B. S. Manjunath, S. Mitra
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引用次数: 12

摘要

提出了一种光学图像与合成孔径雷达(SAR)图像配准的弹性轮廓匹配方法。以光学图像中的轮廓为初始条件,应用主动轮廓模型(Snake)在SAR图像中获得精确的轮廓位置。以封闭轮廓的质心和开放轮廓上的突出点为控制点,估计图像之间的变换参数。该算法在控制点的均方根误差方面优于人工配准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical-to-SAR image registration using the active contour model
An elastic contour matching method for the registration of the optical images with synthetic aperture radar (SAR) images is proposed. Using the contours from the optical image as the initial condition, accurate contour locations in the SAR image are obtained by applying an active contour model (Snake). The centroids of the closed contours and the salient points along the open contours are used as control points, through which the transformation parameters between the images can be estimated. The proposed algorithm has outperformed manual registration in terms of root mean square error at the control points.<>
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