Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation

IEEE Transactions on Geoscience and Remote Sensing(2021)

引用 3|浏览7
暂无评分
摘要
A functional feature extraction method based on rational function approximation for hyperspectral image (HSI) classification is proposed. In digital imagery, the spectral information of a pixel can be regarded as a 1-D signal. An HSI is composed of these 1-D signals arranged in a certain spatial structure. According to the functional characteristic of hyperspectral data, 1-D signals can be approxi...
更多
查看译文
关键词
Feature extraction,Hyperspectral imaging,Data models,Machine learning,Splines (mathematics),Function approximation,Data mining
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