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http://dx.doi.org/10.7780/kjrs.2006.22.4.295

Hyperspectral Image Fusion Algorithm Based on Two-Stage Spectral Unmixing Method  

Choi, Jae-Wan (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Kim, Dae-Sung (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Lee, Byoung-Kil (Civil Engineering, Hankong National University)
Yu, Ki-Yun (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Kim, Yong-Il (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.22, no.4, 2006 , pp. 295-304 More about this Journal
Abstract
Image fusion is defined as making new image by merging two or more images using special algorithms. In case of remote sensing, it means fusing multispectral low-resolution remotely sensed image with panchromatic high-resolution image. Generally, hyperspectral image fusion is accomplished by utilizing fusion technique of multispectral imagery or spectral unmixing model. But, the former may distort spectral information and the latter needs endmember data or additional data, and has a problem with not preserving spatial information well. This study proposes a new algorithm based on two stage spectral unmixing model for preserving hyperspectral image's spectral information. The proposed fusion technique is implemented and tested using Hyperion and ALI images. it is shown to work well on maintaining more spatial/spectral information than the PCA/GS fusion algorithms.
Keywords
Image Fusion; Hyperspectral Image; Two Stage Spectral Unmixing; Spectral Information;
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