A Matching Method of Remote Sensing Image and GIS Data Based on Area Feature

ZHANG Xiao-dong; LI De-ren; GONG Jian-ya; QIN Qian-qing

doi:10.11834/jrs.20060357

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A Matching Method of Remote Sensing Image and GIS Data Based on Area Feature
Issue 3, Pages: 373-380(2006)
Published： 2006 ，
DOI： 10.11834/jrs.20060357

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[1]张晓东,李德仁,龚健雅,秦前清.一种基于面特征的遥感影像与GIS数据配准方法[J].遥感学报,2006(03):373-380.

ZHANG Xiao-dong, LI De-ren, GONG Jian-ya, et al. A Matching Method of Remote Sensing Image and GIS Data Based on Area Feature. [J]. Journal of Remote Sensing (3):373-380(2006)
[1]张晓东,李德仁,龚健雅,秦前清.一种基于面特征的遥感影像与GIS数据配准方法[J].遥感学报,2006(03):373-380. DOI： 10.11834/jrs.20060357.

ZHANG Xiao-dong, LI De-ren, GONG Jian-ya, et al. A Matching Method of Remote Sensing Image and GIS Data Based on Area Feature. [J]. Journal of Remote Sensing (3):373-380(2006) DOI： 10.11834/jrs.20060357.

摘要

遥感图像与G IS数据的配准是遥感应用、遥感与G IS集成的基础和关键。目前的方式大多是通过人工选取一点数量的控制点

通过几何纠正模型把遥感图像纳入到G IS坐标系统中

同时改正遥感图像的几何畸变。随着遥感技术的发展

传统人工作业方法无论是从效率还是从质量上都无法满足日益增长的应用需求

因此需要研究实用化的遥感影像与G IS数据的自动配准方法。本文从实用化的角度出发

在分析特征匹配理论的基础上

提出了一种基于面状地物多边形特征的遥感影像与G IS数据自动配准方法。该方法不同于一般的特征匹配方法之处在于特征提取与特征匹配同步解求。本文对新方法的理论进行了详细论述

最后对上海浦东地区的QUICKB IRD影像和1∶2000 G IS数据进行了配准实验

对比传统方法计算结果

新方法具有明显优势。

Abstract

Matching remote sensing imagery and GIS data is very important and a key step for applications of the imagery and integration of the imagery and GIS.The general approach includes following steps: control points selection

computation of rectification model parameters of the image and rectification of the whole image pixel by pixel.But the processing is very time-consuming when performed manually.To improve the processing efficiency

we present a new method based on area features.Our approach

guided by GIS knowledge

iteratively extracts an area feature and matches area features simultaneously.The matching experiment

which uses a QUBICKBIRD image and（1∶2000） GIS data in Pudong

Shanghai is presented.Comparison of the results of our approach and that of the traditional method indicates that the new approach can obtain better accuracy with limited manual operations.