English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26988/38789
Visitors : 2327244      Online Users : 52
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40563

Title: Applying Composite Kernel to Kernel-based Nonparametric Weighted Feature Extraction
Authors: Chih-Sheng Huang;Cheng-Hsuan Li;Shih-Syun Lin;Bor-chen Kuo
Contributors: 國立臺灣海洋大學:資訊工程學系
Date: 2010
Issue Date: 2017-01-20T02:25:44Z
Publisher: Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Abstract: Abstract: In the recent researches show that nonparametric weighted feature extraction (NWFE) is a useful method for extracting hyperspectral image features. Kernel-based NWFE (KNWFE) is applying the kernel method to extend the more effective projected features in the feature space. It had been showed the performance of KNWFE is better than NWFE. In this study, we would apply a composite kernel function with spectral and spatial information to KNWFE, and hope this composite kernel to KNWFE can get a better performance than the spectral-based kernel function to KNWFE. In the experiment results show that the KNWFE with composite kernel, include the spectral and spatial information, outperforms the KNWFE with the only spectral based kernel function.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40563
Appears in Collections:[資訊工程學系] 演講及研討會

Files in This Item:

File Description SizeFormat
index.html0KbHTML68View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback