化工矿产地质2025，Vol.47Issue(4)：355-360,6.
一种遥感影像几何精度自动化评估方法
A Method for Automated Evaluation of Geometric Accuracy of Remote Sensing Images
摘要
Abstract
To improve the speed and accuracy of precision inspection of remote sensing image products,this paper proposes an automatic geometric precision evaluation algorithm based on phase correlation.Firstly,a calculation grid is established,where grid intersections serve as feature point checkpoints.Through reliability analysis and structural similarity index(SSIM)calculation,the offset vector of each feature point is finally obtained,and the root mean square error(RMSE)of the images is computed to realize automatic precision evaluation.Thirty-two images were selected as experimental datasets,with cross-comparisons conducted against manually collected control points.The experimental results demonstrate that the algorithm is effective and accurate in evaluating remote sensing images.Software-based automatic precision evaluation can display offset vectors more intuitively and clearly,accurately locate over-limit areas in the images,and lay a foundation for automated production evaluation.关键词
精度检查/相位相关/偏移向量/自动化生产评估/特征匹配Key words
Precision inspection/Phase correlation/Offset vector/Automated production evaluation/Feature match分类
信息技术与安全科学引用本文复制引用
Zhou Yan,Ma Weichun,Sun Ze..一种遥感影像几何精度自动化评估方法[J].化工矿产地质,2025,47(4):355-360,6.基金项目
安徽省测绘局2025年度科技创新项目多源遥感影像智能处理关键技术研究(编号:2025-KJ-10) （编号:2025-KJ-10）
