基于图斑空间关系的遥感专家分类方法研究

Remote Sensing Expert Classification Method Based on Patch Spatial Relationship

以光谱均质单元———图斑作为空间对象粒度的基本单元,采用图斑邻域搜索算法,获取不同类别图斑间的空间关系。在ERDAS专家分类系统中,根据图斑相邻关系以及DEM信息对初始分类结果进行了修正,提高了湿地、草地和农业用地的分类精度。

The homogeneous spectral units＇ patches, were taken as the classification unit, and the neighboring searching algorithm was employed to obtain the relationship of different spatial features, which results in higher classification accuracy of wetland, grassland and farmland. The extractions of water body were also discussed and the comparisons were made among different extraction methods.