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

作　　者：陈超 吴涉成 方炎林 李佳艺 

机构地区：[1]衢州市华创房地产测绘有限公司,浙江 衢州 [2]衢州职业技术学院机电工程学院,浙江 衢州

出　　处：《测绘科学技术》2023年第3期169-176,共8页Geomatics Science and Technology

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。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.

关 键 词：地理国情监测 信息化测绘 地理数据 应急测绘保障 地物要素 变化检测 图像配准 认知模型 

分 类 号：P20[天文地球—测绘科学与技术]