融合相对全变分和相位一致性的多模态遥感图像配准  

Multimodal image registration using relative total variation and phase consistency

作　　者：樊建伟 熊清 洪雨 李冰倩 李艳灵 FAN Jianwei;XIONG Qing;HONG Yu;LI Bingqian;LI Yanling(College of Compute and Information Technology,Xinyang Normal University,Xinyang 464000,China)

机构地区：[1]信阳师范大学计算机与信息技术学院,河南信阳464000

出　　处：《信阳师范大学学报(自然科学版)》2025年第2期146-151,共6页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(62002307);河南省高等学校重点科研项目(25A520005);信阳师范大学大学生科研基金项目(2024‑DXS‑137)。

摘　　要：由于成像机制的不同,显著的模态差异和噪声干扰给多模态遥感图像配准带来了极大挑战。为此,提出了一种融合相对全变分和相位一致性的多模态遥感图像配准方法。通过引入相对全变分滤除无效纹理和噪声,充分提取多模态遥感图像的结构特征,进一步构建尺度空间以提取可靠的特征点。在相对全变分尺度空间的基础上,利用对图像灰度变化不敏感的相位一致性,替代图像梯度构造特征描述符。在3种不同类型的多模态遥感图像数据集上进行实验,与其他配准方法相比,所提出的方法能够有效处理存在模态差异和噪声的多模态遥感图像,获得更好的配准精度。Due to the difference of imaging mechanism,the modality difference and noise interference bring great challenges to the registration of multimodal remote sensing images.A novel multimodal remote sensing image registration method was proposed,which integrated relative total variation and phase consistency.By introducing relative total variation to eliminate ineffective textures and noise,the structural features of multimodal remote sensing images was fully extracted,and further the scale space was constructed to extract reliable feature points.Based on relative total variational scale space,the phase consistency,which is insensitive to intensity changes,was utilized to replace image gradient and construct salient feature descriptors.Experiments were conducted on three different types of datasets of multimodal remote sensing image.Compared with other state of the art registration methods,the proposed method can effectively process multimodal remote sensing images with modality differences and noise,and obtain better registration accuracy.

关 键 词：多模态遥感图像 图像配准 相对全变分 相位一致性 

分 类 号：P237[天文地球—摄影测量与遥感]