华东交通大学学报Issue(1)：15-21,7.
基于遥感图像信息特征的单调递增SSDA算法
The Monotonically Increasing SSDA Based on Features of Remote Sensing Image
摘要
Abstract
Image registration is the process of matching two or more images derived from the same scene,at dif-ferent time,by different sensors or at different views of angle. Target monitoring with remote sensing images re-quires pre-registration. How to effectively enhance the accuracy of image matching has become the key point. This paper proposes two improvements based on the traditional matching algorithms:firstly getting lower di-mension and optimization calculation through PCA-SIFT algorithm;secondly reducing the amount of matching calculation according to remote sensing image features. The simulation results show that the proposed algorithm can reduce noise,greatly improving the speed of registration at the same time.关键词
图像配准/遥感图像/SSDA/PCA-SIFTKey words
image registration/remote sensing image/SSDA(sequential similarity detection algorithms)/PCA-SIFT(principal component analysis-scale-invariant feature transform)分类
信息技术与安全科学引用本文复制引用
王杉,陈翔,司寒羽..基于遥感图像信息特征的单调递增SSDA算法[J].华东交通大学学报,2013,(1):15-21,7.基金项目
国家自然科学基金项目(61261041) （61261041）
