Fast remote sensing image registration algorithm
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摘要: 针对多传感器遥感图像的配准,提出了一种快速有效的图像配准方法.该基于分级候选点集匹配的配准算法充分利用了分级匹配和候选点集匹配方法的优点,减少了特征提取空间和搜索空间.并在同名控制点对的确定中引入距离计算,能更有效地确定同名控制点对,减少了误匹配率,增加的距离计算时间代价很小,而且不随图像大小发生变换,只与最终匹配点对数目有关.采用主观与客观判断相结合的方法进行配准评价,实验结果表明,该算法在图像存在一定背景噪声,同时具有平移、旋转的情况下,可以准确地进行配准,提高了配准速度和精度.Abstract: Aiming at the registration of multi-sensor remote sensing images, a fast and effective image registration method was presented. Based on hierarchical candidate point set matching, the registration algorithm makes full use of the advantages of hierarchical matching and candidate point set matching approach, reduces feature extraction and searching space, and introduces distance calculation into the determination of homologous control point pairs, it can availably decide homologous control point pairs and decrease mismatching rate. The increased distance calculation has much lower time cost, and it does not change with the size of images. It is concerned with the number of final matched points in images. The effect of image registration algorithm was evaluated by subjective and objective method. Experiment results show the proposed algorithm can accurately register multi-spectral images and panchromatic images with some shift, rotation angles and background noises, and it can increase the speed and precision of registration.
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Key words:
- similarity measure /
- distance calculation /
- feature point extraction /
- image registration
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