利用SIFT与粗差探测进行SAR影像配准
SAR Imagery Registration Based on SIFT and Data Snooping
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摘要: SAR影像特殊的成像机理使得SIFT在SAR影像配准中的错误率较高,加入相干系数的辅助只能在一定程度上削弱SIFT的错误配准。由于仅考虑灰度的配准策略对精度的提高有限,本文将摄影测量中粗差探测和剔除的方法与SIFT算法相结合。在二次多项式平差的过程中,将错误同名点视为粗差,利用粗差剔除的方法提高配准精度。实验证明了此方法的可行性。Abstract: Because of the restriction of gray registration strategies on improving the accuracy,the SIFT was combined with data snooping algorithms which came from the photogrammetry.The wrong registration feature points were processed as the gross error in the quadratic polynomial model and adjusted by the error snooping.The experimental results proves the reliability of this method.
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