English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26988/38789
Visitors : 2353595      Online Users : 37
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/987654321/40562

Title: Applying Reject Region to Adaptive Feature Extraction for Hyperspectral Image Classification
Authors: Shih-Syun Lin;Hui-Shan Chu;Chih-Sheng Huang;Bor-Chen Kuo
Contributors: 國立臺灣海洋大學:資訊工程學系
Date: 2010
Issue Date: 2017-01-20T02:20:21Z
Publisher: Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Abstract: Abstract: In this study, a novel classifier ensemble method named adaptive feature extraction (AdaFE) with reject region is proposed for hyperspectral image. This new concept is deduced from the concepts of reject region and feature extraction. The main idea is adaptive in the sense that subsequent feature spaces are tweaked in favor of those reject regions by Gaussian or knn classifiers in the previous feature space. All training samples are projected to these feature spaces to train various classifiers and then constitute a multiple classifier system. The experimental results based on two hyperspectral data sets show that the proposed algorithm can generate better classification results than only applying feature extraction.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40562
Appears in Collections:[資訊工程學系] 演講及研討會

Files in This Item:

File Description SizeFormat
index.html0KbHTML100View/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