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
段磊 1刘勇2
作者信息
- 1. 兰州大学资源环境学院,甘肃兰州730000;解放军77100部队,重庆400000
- 2. 兰州大学资源环境学院,甘肃兰州730000
- 折叠
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WorldViewⅡ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.
Abstract
In order to improve the accuracy and integrity of the information of rural residents in high resolution remote sensing image,using WorldView 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Key words
Ontology modeling/OBIA/WorldView Ⅱ/Rural residential area引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据