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