一种匹配测度自适应的SAR图像配准算法  

An Algorithm of SAR Images Coregistration Based on Adaptively Selecting Match Measures

作　　者：李申阳[1] 马凯[2,3,4] 梁志锋 杨庆庆 

机构地区：[1]航天恒星科技有限公司,北京100180 [2]山东科技大学,山东青岛266590 [3]山东省基础地理信息与数字化技术重点实验室,山东青岛266590 [4]西安航天天绘数据技术有限公司,陕西西安710100

出　　处：《北京测绘》2017年第1期81-84,共4页Beijing Surveying and Mapping

摘　　要：复图像配准的关键是选择合适的匹配测度函数,但匹配测度函数对不同地形的适应性有待于研究。本文首先对比分析复相关系数法和频谱极大值法在机栽SAR山地和平地数据的精度。然后针时频谱极大值法和复相关系数法在不同地形的适应情况,提出基于外部DEM自适应选取配准测度函数的SAR图像匹配算法。最后,给出复图像配准算法的实现步骤,复杂地区的实测数据验证了算法的有效性。Appropriate match measures is key to complex image coregistration,however,it needs lots of works to study the adaptability for different terrain.Firstly,we analyzed the precision and reliability of complex correlation coefficient and maximum spectrum estimate method in mountain ous region and flat region.Secondly,according to adjustment of complex correlation and maximun spectrum estimate method at different terrain,putting forward the coregistration method of SAR image,which can adaptively select the approach match measures.Finally,the steps of the coregistration algorithm is given in detail,and the measured data processing results show the effectiveness of the proposed coregistration method.

关 键 词：配准 复图像 匹配测度 

分 类 号：P231.1[天文地球—摄影测量与遥感]