An Algorithm of Gross Error Elimination in Image Matchingfor Large Rotation Angle Images
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摘要: 提出了一种基于影像像方曲面元变换的影像匹配粗差剔除算法。结合影像匹配算法实践,在由粗到精的匹配过程中嵌入该方法,可以有效控制匹配误差和修正匹配参数。以低空影像与近景影像等大倾角影像为例,证明该方法可以极大地降低匹配结果中的粗差,保证影像匹配的质量和效率。Abstract: This paper has proposed an gross error elimination algorithm for image matching based on the imaging surface transformation. Image matching practice which embedded this algorithm in the coarse to fine the matching strategy showes that this algorithm can effective-ly control matching error and correct matching parameters. Experiments with large rotation angle images, such as low-altitude images and close-range images prove that the method can greatly reduce the gross errors in the matching results and ensure the quality and efficiency of image matching.
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Keywords:
- image matching /
- gross error elimination /
- surface element model
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