English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28607/40644
Visitors : 4796029      Online Users : 248
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/24984

Title: Analysis of a shallow water environment by multispectral satellite images using a subpixel classification algorithm
Authors: Hung Ming Kao;Hsuan Ren;Chao Shing Lee
Contributors: NTOU:Institute of Applied Geosciences
Keywords: remote sensing;classification;mixture;subpixel;bathymetry
Date: 2008-09-04
Issue Date: 2011-10-20T08:18:44Z
Publisher: Journal of Applied Remote Sensing
Abstract: abstract:Optical satellite images observed in shallow water represent a mixture of information concerning bottom type, water quality, and water depth. In this study, we extracted such information by estimating the abundance using the mixed pixel classification technique. The method is based on the Orthogonal Subspace Projection algorithm which can first eliminate unwanted information, and then match for the information in which we are interested in. Our results indicated that using the subpixel classification approach, information correlated with water depth can be extracted from optical multi-spectral images. To further test this approach, we used satellite images of Itu-Aba Island in the southern part of the South China Sea as a test image and compared with truth depth data from echo sounder sonar system for verification. The results were promising and showed that the information extracted from the satellite image corresponding to bathymetry was highly correlated to the true water depth.
Relation: 2(1), pp.023536
URI: http://ntour.ntou.edu.tw/handle/987654321/24984
Appears in Collections:[應用地球科學研究所] 期刊論文

Files in This Item:

File Description SizeFormat

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