Efficient Phase Congruency-Based Feature Transform for Rapid Matching of Planetary Remote Sensing Images

Genyi Wan;Rong Huang;Yusheng Xu;Zhen Ye;Qionghua You;Xiongfeng Yan;Xiaohua Tong
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Abstract

Plenty of effort has been devoted to solving the nonlinear radiation distortions (NRDs) in planetary image matching. The mainstream solutions convert multimodal images into “single” modal images, which requires building the intermediate modalities of images. Phase congruency (PC) features have been widely used to construct intermediate modalities due to their excellent structure extraction capabilities and have proven their effectiveness on Earth remote sensing images. However, when dealing with large-scale planetary remote sensing images (PRSIs), traditional PC features constructed based on the log-Gabor filter take considerable time, counterproductive to global topographic mapping. To address the efficiency issue, this work proposes a fast planetary image-matching method based on efficient PC-based feature transform (EPCFT). Specifically, we introduce a method to calculate PC using Gaussian first- and second-order derivatives, called efficient PC (EPC). Different from the log-Gabor filter, which is sensitive to structures in a single direction, $\rm EPC$ uses circularly symmetric filters to equally process changes in all directions. The experiments with 100 image pairs show that compared with other methods, the efficiency of our method is nearly doubled without loss of accuracy.
基于相位一致性的高效特征变换行星遥感图像快速匹配
解决行星图像匹配中的非线性辐射失真问题已经得到了广泛的研究。主流解决方案将多模态图像转换为“单”模态图像,这需要构建图像的中间模态。相位一致性(PC)特征以其优异的结构提取能力被广泛用于构建中间模态,并在地球遥感图像上得到了验证。然而,在处理大尺度行星遥感图像(PRSIs)时,基于log-Gabor滤波器构建的传统PC特征耗费大量时间,不利于全球地形制图。为了解决效率问题,本文提出了一种基于高效pc特征变换(EPCFT)的快速行星图像匹配方法。具体来说,我们介绍了一种利用高斯一阶和二阶导数计算PC的方法,称为高效PC (EPC)。与对单一方向结构敏感的log-Gabor滤波器不同,$\rm EPC$使用循环对称滤波器来平等地处理所有方向的变化。100对图像的实验表明,与其他方法相比,该方法的效率提高了近一倍,且不损失精度。
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