Novel method for reconstruction of hyperspectral resolution images from multispectral data for complex coastal and inland waters

Author:

Banerjee Sandip,Shanmugam Palanisamy

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference92 articles.

1. Detecting the red tide algal blooms from satellite ocean color observations in optically complex Northeast-Asia Coastal waters;Ahn;Remote Sens. Environ.,2006

2. Banerjee, S., Shanmugam, P., 2019. Atmospheric correction of Sentinel 2 data for water color applications. In: X Anniversary All-Russian Conference Current Problems in Optics of Natural Waters (ONW’2019) St. Petersburg, Russia, October 9-11, 2019. pp. 174–179. https://onw2019.wixsite.com/onw2019eng.

3. Can, Y.B., Timofte, R., 2018. An efficient CNN for spectral reconstruction from RGB images. http://arxiv.org/abs/1804.04647.

4. The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data;Carper;Photogramm. Eng. Remote Sens.,1990

5. Learning sparse codes for hyperspectral imagery;Charles;IEEE J. Sel. Top. Signal Process.,2011

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