基于高分辨率遥感影像土地利用知识库的建立

Establishment of Land Use Knowledge Base Based on High Resolution Remote Sensing Images

本文通过对胶州市Landsat 8遥感影像数据进行分析,进而对其地物类别进行了分类研究。该实验基于ERDAS软件的知识工程师模块,综合运用了遥感影像的光谱信息、数字高程模型(DEM)和监督分类影像图来建立土地利用知识库,并利用该知识库对实验数据进行了分类、分类后处理以及分类结果精度评定。结果表明,利用知识库进行分类的方法相较传统的影像分类方法在某些土地利用信息提取方面具有比较明显的优势。

This paper analyzes the remote sensing image data of Landsat8 in Jiaozhou City,and then carries on the classification and study of its local object categories.Based on the knowledge engineer module of ERDAS software,the experiment uses the spectral information of remote sensing image,digital elevation model(DEM)and supervision of the classified image map to establish the land use knowledge base,and uses the knowledge base to classify,processing and evaluate the accuracy of the experimental data.The results show that the method of classification by knowledge base has obvious advantages over the traditional method of image classification in some land use information extraction.