Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification.

IEEE Transactions on Geoscience and Remote Sensing(2020)

引用 10|浏览78
暂无评分
摘要
This article proposes a functional data discriminant analysis (FDDA) method for hyperspectral image (HSI) classification. This method analyzes and processes the HSI data from a functional point of view, which is a novel perspective in HSI processing. The classical methods achieve dimensionality reduction by directly eliminating the redundancy of the HSI data. However, the proposed method extracts ...
更多
查看译文
关键词
Feature extraction,Splines (mathematics),Data mining,Hyperspectral imaging,Redundancy,Data models
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