Estimation of Land Surface Downward Shortwave Radiation Using Spectral-Based Convolutional Neural Network Methods: A Case Study From the Visible Infrared Imaging Radiometer Suite Images.
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%0 Journal Article
%1 journals/tgrs/ZhangLH22a
%A Zhang, Yi
%A Liang, Shunlin
%A He, Tao
%D 2022
%J IEEE Trans. Geosci. Remote. Sens.
%K dblp
%P 1-15
%T Estimation of Land Surface Downward Shortwave Radiation Using Spectral-Based Convolutional Neural Network Methods: A Case Study From the Visible Infrared Imaging Radiometer Suite Images.
%U http://dblp.uni-trier.de/db/journals/tgrs/tgrs60.html#ZhangLH22a
%V 60
@article{journals/tgrs/ZhangLH22a,
added-at = {2022-11-13T00:00:00.000+0100},
author = {Zhang, Yi and Liang, Shunlin and He, Tao},
biburl = {https://www.bibsonomy.org/bibtex/2161432f8136d82fc5cbc78806276d70d/dblp},
ee = {https://doi.org/10.1109/TGRS.2022.3210990},
interhash = {06c80b32215de243ac51808a9ab52ac4},
intrahash = {161432f8136d82fc5cbc78806276d70d},
journal = {IEEE Trans. Geosci. Remote. Sens.},
keywords = {dblp},
pages = {1-15},
timestamp = {2024-04-08T16:18:24.000+0200},
title = {Estimation of Land Surface Downward Shortwave Radiation Using Spectral-Based Convolutional Neural Network Methods: A Case Study From the Visible Infrared Imaging Radiometer Suite Images.},
url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs60.html#ZhangLH22a},
volume = 60,
year = 2022
}
