The Study on Automatic and High-Precision Rectification and Registration of Multi-source Remote Sensing Imagery

ZHANG Ji-xian1; LI Guo-sheng2; ZENG Yu1

doi:10.11834/jrs.20050111

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The Study on Automatic and High-Precision Rectification and Registration of Multi-source Remote Sensing Imagery
Issue 1, Pages: 73-77(2005)
Published：2005
DOI： 10.11834/jrs.20050111
稿件说明：

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[1]张继贤,李国胜,曾钰.多源遥感影像高精度自动配准的方法研究[J].遥感学报,2005(01):73-77. DOI： 10.11834/jrs.20050111.

ZHANG Ji-xian1, LI Guo-sheng2, ZENG Yu1. The Study on Automatic and High-Precision Rectification and Registration of Multi-source Remote Sensing Imagery[J]. Journal of Remote Sensing, 2005, (1): 73-77. DOI： 10.11834/jrs.20050111.

摘要

提出并发展了一套对多源遥感影像（不同传感器、不同分辨率、不同时相的遥感影像）的高精度自动纠正与配准技术与方法。遥感影像首先通过一个多项式模型进行整体粗纠正

然后在待配准影像上提取均匀分布的特征点。以提取的特征点为引导

利用金字塔逐层模板匹配的方法获得配准用同名控制点

基此构建不规则三角网将影像分解为各三角形区域

在每个三角形范围内实现逐三角网的高精度影像纠正与配准。

Abstract

The high precise method that automatically rectifying and registering the multi-source remote sensing imagery which are from different sensors with different resolutions and taken from different times

is presented in this paper. First of all

the image to be registered is roughly rectified by using the polynomial model. Then

the feature points are extracted automatically

which are distributing evenly on the roughly rectified image. Guided by the extracted feature points

the common points to be used in automatic registration are obtained by using the pyramid-layered template matching technique. Finally

both the geo-refe-rencing image and the image to be precisely registered are divided into a number of triangular regions by constructing the Triangulated Irregular Network （TIN） on them

and the high precise rectification and registration can be fulfilled on each triangular region one by one.