面向震害信息提取的多源遥感图像自动配准  

Automatic registration of multi-source images for extraction of earthquake damage information

作　　者：杨德贺[1] 陈宜金[1] 杨溪[1] 吕京国[2] 张子昕[1] 张帅[1] 

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]北京建筑工程学院,北京100044

出　　处：《国土资源遥感》2013年第3期56-60,共5页Remote Sensing for Land & Resources

基　　金：国家863计划项目(编号:2010AA012304);国家测绘地理信息局重点实验室开放课题"现代城市测绘"(编号:20111211N)共同资助

摘　　要：为了从多源遥感图像中提取震害信息,研究了一种图像自动配准的高精度算法。首先,利用Moravec算子提取图像的特征点,并采用随机抽样一致性(random sample consensus,RANSAC)算法剔除误匹配点;然后,根据特征点对图像进行对数极坐标变换,求得基准图像和待配准图像间的旋转和缩放因子;进行旋转角度和缩放系数补偿后,采用与相位相关的亚像元级算法计算图像间的偏移量;最后,利用插值算法对待配准图像进行重采样,实现待配准图像与基准图像的几何配准。将配准后的震前和震后图像作为分类目标,分别进行基于特征的分类和震害信息提取,并对分类结果进行变化检测。实验结果表明,该算法流程具有较高的鲁棒性与配准精度,适用于多源遥感图像配准,所提取的震害信息能较好地应用于震害评估。In order to extract the information of earthquake damage from multi-source images,the authors explored a high-accuracy algorithm of automatic image registration.Firstly,It uses Moravec operator to extract feature points and uses random sample consensus（random sample consensus,RANSAC） algorithm to reject mismatching points.Secondly,it makes a log-polar transformation according to the feature points to obtain the rotated angles and the scaled factors of the reference image and the image to be registered.After compensating coefficients of the rotated angles and the scaled factors,it uses an algorithm of sub-pixel level and phase-correlated to calculate the offset between the images and uses the interpolation algorithm to resample the registration image.At last,the images before and after the earthquake are processed as classification targets.They are used to classify and extract the earthquake damage information based on the features.The results show that the designed algorithm in this paper is of the high robustness and registration precision,and is more suitable to the registration of multi-source remote sensing images.The information of earthquake damage can be better applied to the assessment of the earthquake damage than before.

关 键 词：对数极坐标变换 相位相关 图像配准 震害信息提取 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]