Universiti Teknologi Malaysia Institutional Repository

Image quality assessment for fused remote sensing imageries

Md. Reba, Mohd. Nadzri and C’uang, Ong Juey (2014) Image quality assessment for fused remote sensing imageries. Jurnal Teknologi, 71 (4). pp. 175-180. ISSN 0127-9696

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Official URL: http://dx.doi.org/10.11113/jt.v71.3839

Abstract

Image fusion provides precise information in both spatial and spectral resolutions that benefit significantly in high accuracy mapping. Yet, there is less intention withdrawn in justifying the performance of the fused image. In this study, qualitative and quantitative assessments were carried out to test the quality of fusion image. Principal Component Analysis (PCA), Gram-Schmidt and Ehlers were applied to fuse the hyperspectral and Lidar image. Ehlers fusion showed good in preserving the color of image and contained the most information. Besides, the classification of Ehlers fused image showed the highest accuracy.

Item Type:Article
Uncontrolled Keywords:image fusion, hyperspectral, image quality
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Geoinformation and Real Estate
ID Code:53072
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 11:53
Last Modified:19 Jul 2018 15:23

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