Research on intelligent extraction of multi-source spatial data

摘要

Combined with land reclamation applications, through in-depth research a mining area in Guangxi supported by remote sensing images and land use planning data, the correspondence relationship was on the establishment between image objects and geographical entities based on object model of remote sensing images; starting from geographic entity expressed in a object of remote sensing, based on physical features and applications for geographic features, logic combination rule was build on geographic entities, then realized classification of remote sensing information extraction of geographical entities, the accuracy of the classification results of comparative evaluation, implementation of the multi-source data automation of spatial information and intelligent processing.