【摘要】 地理信息系统(G IS)是对地观测的核心技术,遥感(RS)是其重要的信息源和更新手段,G IS同时辅助遥感信息的处理.两者集成是空间信息实时采集、处理、分析的有力手段,目前为实现此目标主要进行数据一体化存储结构的研究.鉴于此提出了根据所要实现的目标,不改变数据存储形式,用神经网络对G IS和RS进行数据融合的方法.首先建立5层网络结构,提取遥感影像和G IS数据库中属性数据的特征值作为网络的输入,然后通过调节输入向量与中心向量的距离及中心向量的值确定网络权值,将两种数据进行融合,利用输出的属性变化,自动更新数据库.以扎龙地区遥感影像与地理信息系统的矢量图层相结合检测地物变化、更新属性数据库为实例,证明了该方法的可行性.更多还原

【Abstract】 Geographic information system(GIS) is a kernel technology of the earth observation.Remote sensing(RS) is an important external information source of GIS and a useful tool for renewing data.On the other hand,GIS can assist in analyzing RS data.Integration of RS and GIS is an important tool for collecting,managing and analyzing the spatial information.For this purpose now the scholars are studying the basal data structure for integrating the two types of data.A method of data fusion of GIS and RS is provided using the neural network with unchanging data memory structure based on users′ aim.A 5-layer network is constructed.Inputs of network are the characteristic values of RS and GIS.Then the distance between the input vector and center vectors and the value of the center vectors to determine weights of the network are adjusted.At last the output,the changed attribute value,is used to update database.The validity of this method is verified by supervising the land cover changing with Zhalong TM image and the vector map to update the attribute database.更多还原