基于规则替换法的多源遥感数据地表覆盖信息提取

Land-cover Information Extraction Using Multi-source Remote Sensing Images Based on Rule-based Substitution Methods

为了更加有效地利用海量多源遥感数据提取地表覆盖信息,根据多源遥感图像决策级融合技术原理,提出了基于规则替换法的信息复合方法。通过对三江平原典型内陆淡水湿地的分类实验,验证了该方法的可行性与适用性,从而为地表覆盖状况调查及监测提供了一种新的技术方法。

With the purpose of effectively using multi-source remote sensing data to extract surface coverage information,this paper puts forward a rule-based substitution method to achieve land-cover information extraction accurately,which is based on principles of decision-making level multi-source remote sensing images fusion.Based on the classification experiments of freshwater wetlands in the Sanjiang plain regions,the authors verified the feasibility and applicability of this method,thus providing a new means for investigation and monitoring of land cover.