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Hyperspectral and multispectral resurs-p data fusion for increase of their informational content
Anshakov G.P., Raschupkin A.V., Zhuravel Y.N.

 

Samara Scientific Center of the Russian Academy of Sciences,
JSC «RSC Progress»

 

DOI: 10.18287/0134-2452-2015-39-1-77-82

Full text of article: Russian language.

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Abstract:
The Resurs-P satellite enables one simultaneously to observe the underlying surface using both multi- and hyperspectral equipment. The multispectral images, thus obtained, have high spatial resolution but low spectral resolution. Hyperspectral images, on the contrary, have high spectral resolution but low spatial resolution. This article proposes a method of the hyper- and multispectral data fusion aimed at improving  their information value.

Keywords:
remote sensing, hyperspectral imaging, multispectral imaging, spatial resolution, spectral resolution.

Citation:
Anshakov GP, Raschupkin AV, Zhuravel YN. Hyperspectral and multispectral resurs-p data fusion for increase of their informational content. Computer Optics 2015; 39(1): 77-82. DOI: 10.18287/0134-2452-2015-39-1-77-82.

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  4. Rashmi, S. Spectral Angle Mapper Algorithm for Remote Sensing Image Classification / S. Rashmi, S. Addamani, Venkat, S. Ravikiran // IJISET – International Journal of Innovative Science, Engineering & Technology. – 2014. – Vol. l, Issue 4. – P. 201-205.

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