基于光流的ADS40影像亚像素配准算法

本文详细介绍了ADS40三线阵传感器成像的原理和方法,提出了新的光流配准算法,该算法将Normal-izedCross-Correlation配准算法引入到Lucas-Kanade光流配准算法中,大大的减少了误配率,能够有效地消除ADS40Level1级别的影像之间由于地形起伏所引起的变形。实验结果表明,与Lucas-Kanade光流配准算法相比,本文算法的PSNR得到了提高,其超分辨率重建效果也说明本文配准算法可以达到超分辨率重建的亚像素的精度要求,减少了误配率,可以应用于航空遥感影像的高精度匹配。

A sub-pixel registration approach of the ADS40 images based on optical flow

In this paper,we introduce Three-Line-Scan Sensor of ADS40.In order to improve the registration accuracy of ADS40 Level 1 Aerial Images,we propose a new optical flow registration method.This approach uses the Normalized Cross-Correlation registration algorithm before we use Lucas-Kanade optical flow registration algorithm.The mixture registration method can remove the deformation being brought by hypsography.Experimental results show that our registration algorithm has better PSNR than Lucas-Kanade registration method.The super resolution results indicate that the mixture registration method can reach sub-pixel precise and reduce the misregistraton rate.This registration approach can be used for the Aerial and Remote Sensing Images