基于本体的高分影像乡村居民地的提取方法探讨  

Discussion on the Method for Rural Residential Area Information Extraction form High Resolution Imagery Based on Ontology Modeling

作　　者：段磊[1,2] 刘勇[1] 

机构地区：[1]兰州大学资源环境学院 [2]解放军77100部队

出　　处：《安徽农业科学》2016年第4期16-19,共4页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(41271360)

摘　　要：为了提高高分辨率遥感影像乡村居民地信息的精度和完整性,采用World ViewⅡ卫星遥感数据,在基于对象影像分析方法的支持下,开展基于本体建模的乡村居民地信息提取研究。首先提出高分辨率遥感影像乡村居民地认知框架,再获得乡村居民地模型的形式化表达,建立乡村居民地本体的概念化模型,最后根据本体模型提取乡村居民地信息。该结果具有良好的精度和完整性,说明基于本体建模提取乡村居民地信息的方法是可行的。In order to improve the accuracy and integrity of the information of rural residents in high resolution remote sensing image,using World View Ⅱ satellite remote sensing data,based on the support of object image analysis method,rural residential area information extraction was studied on the basis of ontology modeling. First,rural residential area cognitive framework of high resolution remote sensing image was proposed,then formal expression of rural residential area model was obtained,and conceptual model of the ontology of rural residents was established. Finally,rural residents area information was extracted. The results had good accuracy and integrity,and it was feasible to extract the information of rural residents based on ontology modeling.

关 键 词：本体建模 基于对象的影像分析 WorldViewⅡ 乡村居民地 

分 类 号：S127[农业科学—农业基础科学]