多传感器卫星图像亚像素配准

S. Xing, Qing Xu, Dongyang Ma
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引用次数: 7

摘要

对遥感图像进行地理编码的一种方法是将其注册到现有的正射影像。提出了一种多传感器、多分辨率遥感图像亚像素配准方案。该配准方案采用点特征、3种图像匹配算法(ICM、PRM、ISM)和3种约束(APC、CDM、ICC)。保证了点匹配精度达到亚像素级,特征点分布自适应区域地形。然后用特征点构造TIN。最后利用改进的三角填充算法对目标图像进行TIN校正。实验结果表明,SPOT5全色图像(2.5 m/像素)的配准精度为2 ~ 3 m, SPOT5多光谱图像(10 m/像素)的配准精度为5 ~ 6 m。由于该方法具有良好的可行性、高效性和准确性,已在灾害评估、突发疫情和局部战争等突发事件中得到应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-sensor Satellite Image Sub-pixel Registration
One way of geocoding a remote sensing image is to register it to an existing orthoimage. A multi-sensor and multi-resolution remote sensing image sub-pixel registration scheme is proposed in this paper. In this registration scheme, point feature, three image matching algorithms (ICM, PRM, ISM) and three constraints (APC, CDM, ICC) are used. They guarantee that the precision of point matching reaches sub-pixel and the distribution of feature points are self-adapted to the area terrain. Then TIN is constructed with feature points. Finally the target image is rectified based on TIN with the improved triangle filling algorithm. Experiment results demonstrate that the registration accuracy of SPOT5 panchromatic image (2.5 m/pixel) is 2-3 m and SPOT5 multi-spectral image (10 m/pixel) is 5-6 m. Since the method has good feasibility, efficiency and accuracy, it has been used in some emergencies such as disaster evaluation, paroxysmal epidemic situation and local war.
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