基于SAR景象不变特征点的匹配定位技术研究

针对精确制导领域中的SAR景象匹配定位技术中由于实时图与基准图可能存在形变、分辨率不一致,图像旋转及雷达视角变化及噪声的影响下差异较大情况时直接利用基于灰度的规则正交二维信息匹配算法适应性差的问题,将不变特征点匹配方法(Scale Invariant Feature Transform,SIFT)应用到SAR景象匹配中,通过仿真实验取得了满意的效果,试验结果表明SIFT特征是图像的局部特征,其对旋转、尺度缩放、亮度变化保持不变性,对视角变化、噪声也保持一定程度的稳定性,对提高匹配概率和对不同图像的适应性,降低应用风险具有借鉴意义。

The Research of SAR Image Match Guide Method Based on SIFT

Regarding the precision guidance in the field of SAR scene match positioning technology,the real time image and the reference image may exist deformation,resolution inconsistent,image rotation and radar angle noise with the influence of difference situation directly based on the gray rules orthogonal two-dimensional information match.Therefore,the invariant feature points matching method known as scale invariant feature transform(SIFT) is applied to the SAR scene matching.The simulation experiment has achieved satisfactory results,the test results show that the SIFT image is characterized by the local features.According to rotating,scaling,brightness changing,the proposed method can keep invariance and retain a certain degree of stability,and it can improve the probability of matching and the adaptability of different images.