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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。
The special imaging mechanism of SAR images makes the error rate of SIFT higher in SAR image registration. The addition of coherence coefficient can only weaken the mis-registration of SIFT to a certain extent. Due to the limited accuracy of gray registration strategy, this paper combines the SIFT algorithm with the method of gross error detection and rejection in photogrammetry. In the process of quadratic polynomial adjustment, the error of the same name is regarded as the gross error, and the accuracy of the registration is improved by the method of removing gross errors. The experiment proves the feasibility of this method.