Hyperspectral and multispectral image fusion based on spectral decomposition and neighborhood relation | IEEE Conference Publication | IEEE Xplore

Hyperspectral and multispectral image fusion based on spectral decomposition and neighborhood relation


Abstract:

In this paper, hyperspectral and multispectral image fusion approach, based on spectral decomposition and neighborhood relation, is proposed. Firstly, endmembers and abun...Show More

Abstract:

In this paper, hyperspectral and multispectral image fusion approach, based on spectral decomposition and neighborhood relation, is proposed. Firstly, endmembers and abundances are extracted from hyperspectral image by using spectral decomposition. Then, an abundance map for neighbouring pixels and endmembers is extracted from the multispectral image. Finally, a high spatial resolution hyperspectral image is produced by using endmembers, neighbouring pixels and abundance map. The proposed method is tested on real hyperspectral images and experimental results show that it outperforms similar fusion algorithms in the literature.
Date of Conference: 02-05 May 2018
Date Added to IEEE Xplore: 09 July 2018
ISBN Information:
Conference Location: Izmir, Turkey

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