通过回顾相关研究成果,总结岩溶石漠化信息遥感提取方法的研究现状,探讨了人机交互解译法、比值增强法、监督分类法、基于光谱特征的自动分类法、基于时间序列的分类法、基于专家经验分类法、面向对象的分类法的优点和不足,结合实践工作,笔者认为从改进遥感增强模型、改进野外实测基岩裸露率的方法、加强人机交互解译这三方面着手,能建立更科学的岩溶石漠化信息遥感提取模型。
Remote sensing technology is the best technical investigation method for karst rocky desertification spatial distribution. By reviewing the related results,this paper summaries the research status of the remote sensing information extraction methods of karst rocky desertification and discusses the relevant methods' advantages and disadvantages,such as human computer interactive interpretation method,ratio enhancement method,supervised classification,automatic classification method based on spectral feature,classification method based on time series,classification method based on expert experience and object-oriented classification method. Combined with practical work,three researches are suggested: improving remote sensing enhanced model,improving method of exposed bedrock rate survey,strengthening interactive interpretation to establish a more scientific remote sensing information extraction model for karst rocky desertification.