English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26994/38795
Visitors : 2391605      Online Users : 81
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/987654321/28163

Title: Fast hyperspectral image classification using binary quaternion-moment-preserving thresholding technique
Authors: Lena Chang;Ching-Min Cheng;Yang-Lang Chang
Contributors: NTOU:Department of Communications Navigation and Control Engineering
國立臺灣海洋大學:通訊與導航工程學系
Date: 2008-07-06
Issue Date: 2011-10-21T02:36:04Z
Publisher: 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2008)
Abstract: Abstract:Recently, due to the advancement of remote sensors, optical remote sensing has been a significant increase in the number of spectral bands in acquired data, going from multispectral to hyperspectral. Hyperspectral imagery with hundreds of bands offers high spectral resolution and provides the potential accuracy in detection and classification of targets unresolved in multispectral images. However, higher spectral resolution increases the computation complexity in image processing. Thus, how to improve the accuracy with less computation complexity is the main challenge for hyperspectral image classification.
URI: http://ntour.ntou.edu.tw/handle/987654321/28163
Appears in Collections:[通訊與導航工程學系] 演講及研討會

Files in This Item:

There are no files associated with this item.



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