Geng Yu, Lv Jingguo, Huang Shuwei, Wang Boyu
School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.
J Imaging. 2025 Apr 8;11(4):112. doi: 10.3390/jimaging11040112.
Satellite video geographic alignment can be applied to target detection and tracking, true 3D scene construction, image geometry measurement, etc., which is a necessary preprocessing step for satellite video applications. In this paper, a multi-scale spatiotemporal feature enhancement and recursive motion compensation method for satellite video geographic alignment is proposed. Based on the SuperGlue matching algorithm, the method achieves automatic matching of inter-frame image points by introducing the multi-scale dilated attention (MSDA) to enhance the feature extraction and adopting a joint multi-frame optimization strategy (MFMO), designing a recursive motion compensation model (RMCM) to eliminate the cumulative effect of the orbit error and improve the accuracy of the inter-frame image point matching, and using a rational function model to establish the geometrical mapping between the video and the ground points to realize the georeferencing of satellite video. The geometric mapping between video and ground points is established by using the rational function model to realize the geographic alignment of satellite video. The experimental results show that the method achieves the inter-frame matching accuracy of 0.8 pixel level, and the georeferencing accuracy error is 3 m, which is a significant improvement compared with the traditional single-frame method, and the method in this paper can provide a certain reference for the subsequent related research.
卫星视频地理配准可应用于目标检测与跟踪、真三维场景构建、图像几何测量等，是卫星视频应用的必要预处理步骤。本文提出一种用于卫星视频地理配准的多尺度时空特征增强与递归运动补偿方法。该方法基于SuperGlue匹配算法，通过引入多尺度扩张注意力（MSDA）增强特征提取、采用联合多帧优化策略（MFMO）实现帧间图像点的自动匹配，设计递归运动补偿模型（RMCM）消除轨道误差的累积效应并提高帧间图像点匹配精度，利用有理函数模型建立视频与地面点之间的几何映射以实现卫星视频的地理配准。通过使用有理函数模型建立视频与地面点之间的几何映射来实现卫星视频的地理配准。实验结果表明，该方法实现了0.8像素级的帧间匹配精度，地理配准精度误差为3米，与传统单帧方法相比有显著提升，本文方法可为后续相关研究提供一定参考。
