A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation.

Leyuan Fang,Nanjun He,Shutao Li,Antonio J. Plaza,Javier Plaza

IEEE Transactions on Geoscience and Remote Sensing（2018）

引用 153|浏览24

暂无评分

摘要

In this paper, a novel local covariance matrix (CM) representation method is proposed to fully characterize the correlation among different spectral bands and the spatial-contextual information in the scene when conducting feature extraction (FE) from hyperspectral images (HSIs). Specifically, our method first projects the HSI into a subspace, using the maximum noise fraction method. Then, for eac...

查看译文

关键词

Feature extraction,Correlation,Covariance matrices,Iron,Hyperspectral imaging,Principal component analysis,Support vector machines

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要