Huang Feng-Hua
Geographical Science College, Fujian Normal University, 350007, Fuzhou, China
Yan Lu-Ming
Geographical Science College, Fujian Normal University, 350007, Fuzhou, China
ABSTRACT
To solve the problems of low spatial resolution and much mixed pixel of traditional hyperspectral image, this paper puts forward a hyperspectral image fusion method based on Gram_Schmidt improved algorithm (GS3), in order to improve the fusion effect of the hyperspectral remote sensing image and high spatial resolution image. It adopts GS3 and other various fusion methods to make fusion comparison experiment on the Hyperion hyperspectral image and ALI panchromatic band of the same time phase and the same sensor (EO-1) and respectively uses the qualitative and quantitative methods to make comprehensive analysis and evaluation of the fusion results. The experimental results show that, compared with other hyperspectral image fusion methods, GS3 method can better maintain the spectral feature and space texture feature of hyperspectral image at the same time, which is a relatively ideal hyperspectral image fusion method.
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How to cite this article
Huang Feng-Hua and Yan Lu-Ming, 2013. Study on the Hyperspectral Image Fusion Based on the Gram_Schmidt Improved
Algorithm. Information Technology Journal, 12: 6694-6701.
DOI: 10.3923/itj.2013.6694.6701
URL: https://scialert.net/abstract/?doi=itj.2013.6694.6701
DOI: 10.3923/itj.2013.6694.6701
URL: https://scialert.net/abstract/?doi=itj.2013.6694.6701
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