摘要
论文对遥感影像配准算法进行简要概述,对基于灰度的影像配准算法中的三种常见算法进行阐述,并通过实验对三种算法的精度进行分析,对基于特征的影响配准算法的技术流程进行介绍,并使用SIFT、PCA-SIFT和SURF方法通过实验进行对比分析,从匹配概率、匹配精度和匹配速度等方面对几种经典的匹配方法进行了评估。
This paper introduces briefly the registration algorithm for remote sensing images,describes three common registration algorithms based on gray scale,analyzes their accuracy with experiments,and introduces the technical process of the feature-based influence registration algorithm.It uses SIFT,PCA-SIFT and SURF methods for comparative analysis,and the matching probability,accuracy and efficiency are evaluated.
作者
甘曦之
陈志忠
GAN Xizhi;CHEN Zhizhong(Guangzhou Tianzhu Information Technology Co.,Ltd.,Guangzhou 511455,China;School of Geospatial Information,Information Engineering University,Zhengzhou 450310,China)
出处
《江西测绘》
2023年第2期16-19,共4页
JIANGXI CEHUI
关键词
影像配准
相关系数
差绝对值和
误差椭圆之差
SIFT
Image Registration
Correlation Coefficient
Absolute Difference Sum
Difference of Error Ellipses
SIFT
