基于eCognition平台的第三次全国国土调查应用研究

第三次全国国土调查是我国一项重要的调查工作,是全面查清国土资源的重要手段。本文基于eCognition的面向对象分类方法结合光谱特征、纹理特征和几何特征进行高分辨率遥感影像的土地利用分类,研究结果表明该分类方法具有较好的分类结果和较高的精度评价。该分类方法已应用于第三次国土调查成果的检查,提高了不一致图斑提取的工作效率,同时可为年度土地变更调查、自然资源调查监测工作提供技术支持。

Application Research of the Third Land Survey Based on eCognition

The Third National Land Survey(TNLS)is an important work in our country,which is significant to investigate the national land resource comprehensively.This paper utilizes the objectoriented classification method combining with the spectral features,texture features and geometry features based on eCognition to classify the land use of the high-resolution remote sensing images.The result indicates that this classification method can obtain the good classification result and high accuracy evaluation.Therefore,the object-oriented classification method has been used to examine the results of the TNLS,and has improved the efficiency of extracting inconsistent land use parcels.It can also provide technology support for annual land change survey and natural resource survey and monitoring.