relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2097/
title: Comparison of Various Image Fusion Methods for Impervious Surface Classification from VNREDSat-1
creator: Luu, Viet Hung
creator: Pham, Van Manh
creator: Man, Duc Chuc
creator: Bui, Quang Hung
creator: Nguyen, Thi Nhat Thanh
subject: Information Technology (IT)
description: Impervious surfaces are important indicators for urban development  monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1,  remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five  multi-resolution image fusion techniques were compared for the task of classifting urban impervious  surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best  techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB  technique gives the best results when it comes to impervious surface classification, especially in the  case of shadow areas included in non-impervious surface group.
publisher: The International Promotion Agency of Culture Technology
date: 2016-06
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2097/1/article.aspx_sn%3D278787
identifier:   Luu, Viet Hung and Pham, Van Manh and Man, Duc Chuc and Bui, Quang Hung and Nguyen, Thi Nhat Thanh  (2016) Comparison of Various Image Fusion Methods for Impervious Surface Classification from VNREDSat-1.  International Journal of Advanced Culture Technology (IJACT), 4  (2).   pp. 1-6.      
relation: http://www.earticle.net/article.aspx?sn=278787
relation: 10.17703/IJACT.2016.4.2.1