遥感影像配准算法研究与精度分析

Research and Precision Analysis of Remote Sensing Image Registration Algorithm

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.