基于各向异性滤波的相位一致性卫星影像匹配方法  

Phase Congruency Satellite Image Matching Method Based on Anisotropic Filtering

作　　者：付青 郭晨[1,2,3] 罗文浪 谢世坤[1,2,3] Fu Qing;Guo Chen;Luo Wenlang;Xie Shikun(School of Electronics and Information Engineering,Jinggangshan University,Ji'an 343009,Jiangxi,China;Jiangxi Engineering Laboratory of IoT Technologies for Crop Growth,Ji'an 343009,Jiangxi,China;Ji an Key Laboratory of Agricultural Remote Sensing,Ji'an 343009,Jiangxi,China)

机构地区：[1]井冈山大学电子与信息工程学院,江西吉安343009 [2]江西省农作物生长物联网技术工程实验室,江西吉安343009 [3]吉安市农业遥感重点实验室,江西吉安343009

出　　处：《光学学报》2024年第6期387-399,共13页Acta Optica Sinica

基　　金：国家自然科学基金(42061055,51867011);江西省自然科学基金项目(20202BABL202047)。

摘　　要：针对不同时相卫星影像匹配效果差的问题,提出基于各向异性滤波的相位一致性的卫星影像匹配方法。首先,利用各向异性滤波建立图像非线性尺度空间,再利用相位一致性模型计算每个尺度下的最大矩图。其次,在每个尺度下的最大矩图上利用分块Shi-Tomasi算法提取特征点,再通过Log-Gabor滤波器建立多尺度多方向的幅值响应,并计算图像的最大幅值响应及其最大幅值的方向索引。然后,在极坐标系下,基于OpenMP并行计算实现特征描述符加速构建,再进行影像匹配与误匹配剔除。最后,利用6组不同时相、不同视角、辐射差异明显的卫星影像进行实验,实验结果表明,所提出的匹配方法明显优于传统的尺度不变特征变换(SIFT)算法和目前较为先进的辐射变化强度特征转换(RIFT)、绝对相位一致性梯度直方图(HAPCG)等算法。Objective The quality of satellite image matching directly affects the accuracy and reliability of the subsequent block adjustment accuracy,which in turn affects the generation of products such as digital orthophoto maps(DOMs)and digital elevation models(DEMs).The traditional scale-invariant feature transform(SIFT)algorithm based on image gradient features performs poorly in handling nonlinear radiation differences,and existing phase congruency matching methods have difficulty in simultaneously handling nonlinear radiation differences and geometric differences.For example,the radiationvariation insensitive feature transform(RIFT)algorithm has difficulty in handling large scale differences;the histogram of absolute phase consistency gradient(HAPCG)algorithm has a general matching effect for large rotation problems,and the histogram of orientated phase congruency(HOPC)algorithm requires more accurate geographic reference information.There are three challenges for satellite image matching with multiple phases,multiple views,and radiation differences.Traditional Gaussian linear scale space construction methods lead to image edge blur and loss of detail in the process of building image pyramids;traditional phase congruency methods have difficulty in extracting repeatable and robust feature points,and traditional random sample consensus(RANSAC)algorithm often fails to address the high rate of gross errors in the image matching process.We proposed a phase congruency satellite image matching method based on anisotropic filtering,which could further improve the accuracy and number of correctly matched points in satellite images with significant nonlinear radiation differences and geometric differences.Methods In light of the challenges posed by satellite matching images with varying phases,views,and radiation differences,we proposed a satellite image matching method based on anisotropic filtering and phase congruency.Firstly,anisotropic filtering was used to establish the nonlinear scale space of the image,and then the ph

关 键 词：遥感 各向异性滤波 非线性辐射差异 相位一致性 非线性尺度空间 影像匹配 

分 类 号：O439[机械工程—光学工程]