改进遥感数据测绘图像配准技术研究

Research on Improving Image Alignment Techniques for Remote Sensing Data Mapping

摘要: 信息化测绘的重点是解决基础地理信息快速获取及更新，增强应急测绘保障能力和地理国情监测能力。为解决多源遥感图像配准和地物要素的变化检测问题，本文参考人的认知模型，充分利用相同地物在不同图像上存在诸多未变化区域的特点，解决特征对应问题，并实现地物要素的变化检测，为测绘等应用提供地理数据的更新能力。

Abstract: The focus of informationized surveying and mapping is to solve the problem of rapid acquisition and update of basic geographic information, and enhance the ability of emergency surveying and map-ping support and monitoring of geographical national conditions. In order to solve the problems of multi-source remote sensing image registration and change detection of feature elements, this pa-per refers to the human cognitive model, makes full use of the characteristics of many unchanged areas of the same feature on different images, solves the problem of feature correspondence, and realizes the change detection of feature elements, so as to provide geographic data update capabili-ties for applications such as surveying and mapping.