计算机工程2018，Vol.44Issue(3)：233-240,8.DOI:10.3969/j.issn.1000-3428.2018.03.039
融合光谱-空间多特征的高光谱影像张量特征提取
Hyperspectral Image Tensor Feature Extraction Fusing with Multiple Spectral-spatial Features
摘要
Abstract
Aiming at the problem that current hyperspectral image tensor feature extraction methods cannot make full use of the multiple spectral-spatial features of hyperspectral image,a new hyperspectral image tensor feature extraction method based on fusion of multiple spectral-spatial features is proposed in this paper.Firstly,3D Gabor wavelet is used to get multiple texture features with different directions and frequencies,and the multiple shape structural features are got by different morphological attribute filters.The tensor features are constructed by combining the spatial feature,multiple texture features and multiple shape structural features.Then,by using the local tensor discriminant analysis,the proposed method effectively increases the consistency of the same kind tensors and the difference of different kinds of tensors,which can get the lower dimensional tensors consisting of discriminating information and multiple spatialspectral features.The experiments are performed on the Pavia University and Salinas hyperspectral data sets.Experimental results indicate that the proposed method can maintain the spatial-spectral information and discriminating information,which has higher classification accuracy and better spatial continuity classification map when it is applied to the classification images.关键词
高光谱影像/光谱-空间特征/多特征/张量判别分析/特征提取Key words
hyperspectral image/spectral-spatial feature/multiple features/tensor discriminant analysis/feature extraction分类
信息技术与安全科学引用本文复制引用
薛志祥,余旭初,谭熊,魏祥坡..融合光谱-空间多特征的高光谱影像张量特征提取[J].计算机工程,2018,44(3):233-240,8.基金项目
卫星测绘技术与应用国家测绘地理信息局重点实验室项目(KLSMTA-201603) （KLSMTA-201603）
地理信息工程国家重点实验室开放研究基金(SKLGIE2015-M-3-1,SKLGIE2015-M-3-2). （SKLGIE2015-M-3-1,SKLGIE2015-M-3-2）
