Target oriented dimensionality reduction of hyperspectral data by Kernel Fukunaga-Koontz Transform
详细信息 查看全文
- 作者：Hamidullah Binola ; hbinol@yildiz.edu.tr" class="auth_mail" title="E-mail the corresponding author ; Shuhrat Ochilovb ; Mohammad S. Alamb ; Abdullah Bala
- 关键词：Dimensionality reduction ; Fukunaga&ndash ; Koontz Transform ; Hyperspectral imagery ; Kernel methods ; Tuned basis functions
- 刊名：Optics and Lasers in Engineering
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：89
- 期：Complete
- 页码：123-130
- 全文大小：6708 K
文摘
- •
We present a technique that it achieves target oriented data reduction.
- •
The technique relies on extracting the most relevant features to the target class.
- •
The novel dimensionality reduction scheme is compared to the conventional types.