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Comparison of Various Image Fusion Methods for Impervious Surface Classification from VNREDSat-1

Viet Hung Luu and Van Manh Pham and Duc Chuc Man and Quang Hung Bui and Thi Nhat Thanh Nguyen (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.

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Official URL: http://www.earticle.net/article.aspx?sn=278787

Abstract

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.

Item Type:Article
Subjects:Information Technology (IT)
Divisions:Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO)
Faculty of Information Technology (FIT)
ID Code:2097
Deposited By: Dr Thi Nhat Thanh Nguyen
Deposited On:06 Dec 2016 05:11
Last Modified:06 Dec 2016 05:11

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