Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a. Song, K., Li, L., Li, S., Tedesco, L., Duan, H., Li, Z., Shi, K., Du, J., Zhao, Y., & Shao, T. IEEE Trans. Geoscience and Remote Sensing, 52(2):1502-1517, 2014. Link Paper bibtex @article{journals/tgrs/SongLLTDLSDZS14,
added-at = {2016-03-09T00:00:00.000+0100},
author = {Song, Kaishan and Li, Lin and Li, Shuai and Tedesco, Lenore and Duan, Hongtao and Li, Zuchuan and Shi, Kun and Du, Jia and Zhao, Ying and Shao, Tiantian},
biburl = {https://www.bibsonomy.org/bibtex/205312f80b7766eb89d3f2504cdbe7806/dblp},
ee = {http://dx.doi.org/10.1109/TGRS.2013.2251888},
interhash = {ed23ef886eb72b3f32754fc524a21b85},
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journal = {IEEE Trans. Geoscience and Remote Sensing},
keywords = {dblp},
number = 2,
pages = {1502-1517},
timestamp = {2016-03-10T17:14:56.000+0100},
title = {Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a.},
url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs52.html#SongLLTDLSDZS14},
volume = 52,
year = 2014
}
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