中文摘要：

提出了一种改进的扩展形态剖面导数（P-EDMP）以及一种融合P-EDMP与光谱的分类方法。采用AVIRIS高光谱遥感数据,与融合光谱和扩展形态剖面（EMP）的方法进行对比实验,结果表明,在描述高光谱遥感影像的形态特征上,P-EDMP与EDMP相当,但是P-EDMP的时间复杂度要小;在分类精度上,所提方法要优于融合光谱与EMP的方法。

英文摘要：

Among classification of hyperspectral imagery,there are some advantages by combining spectral and morphological information,which is a hot research hop.Extended differential of morphological profiles（EDMP） is a kind of feature describing morphological information of multi-channel imagery.The methods adopts a vector ordering method based on distance to extend grey-level mathematical morphology to multivariate morphology,then constructs the corresponding morphological feature.EDMP has already obtained satisfied results in classification of hyperspectral imagery.However,EDMP is time-consuming and ignores spectral information.To overcome these problems,an improved extended differential of morphological profiles（P-EDMP） and a classification method based on fusing P-EDMP and spectrum are proposed.Using AVIRIS hyperspectral imagery as input,comparative experiments between the proposed method and that of fusing spectrum and extended morphological profiles（EMP） are carried out.Experimental results showed that P-EDMP is competitive with EDMP in describing morphological information of hyperspectral imagery,but is less time-consuming.The proposed method is superior to that of fusing spectrum and EMP in terms of classification accuracies.