Study on the quality and adaptability of fusion methods based on Worldview-2 remote sensing image

Wang Zheng; Xiaojuan Li; Yonghua Sun

doi:10.1117/12.2068844

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26 November 2014 Study on the quality and adaptability of fusion methods based on Worldview-2 remote sensing image

Wang Zheng, Xiaojuan Li, Yonghua Sun

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Proceedings Volume 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V; 92631V (2014) https://doi.org/10.1117/12.2068844
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

In order to take full advantage of the multi-source remote sensing data, the concept of image fusion was proposed and nowadays, many fusion algorithms have been produced, so the adaptability of the algorithm has become a hot topic. This article aiming at the panchromatic and multispectral images of Worldview-2, uses the different fusion methods, including PCA, HPF, Gram-Schmidt and wavelet transform, to fuse the image, and evaluates the results from the aspects of the statistical information, spectral information and spatial characteristics. Then it takes the extracting vegetation as an example, analyzes the applicability of different fusion methods. The research shows that Gram-Schmidt and wavelet transform have better fusion quality and Gram-Schmidt is the most suitable method to extract vegetation for Worldview-2.

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Wang Zheng, Xiaojuan Li, and Yonghua Sun "Study on the quality and adaptability of fusion methods based on Worldview-2 remote sensing image", Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92631V (26 November 2014); https://doi.org/10.1117/12.2068844

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