Classification of Very High-Resolution Remote Sensing Imagery Using a Fully Convolutional Network With Global and Local Context Information Enhancements.
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%0 Journal Article
%1 journals/access/HuLLYZ20
%A Hu, Huanjun
%A Li, Zheng
%A Li, Lin
%A Yang, Hui
%A Zhu, Haihong
%D 2020
%J IEEE Access
%K dblp
%P 14606-14619
%T Classification of Very High-Resolution Remote Sensing Imagery Using a Fully Convolutional Network With Global and Local Context Information Enhancements.
%U http://dblp.uni-trier.de/db/journals/access/access8.html#HuLLYZ20
%V 8
@article{journals/access/HuLLYZ20,
added-at = {2020-02-07T00:00:00.000+0100},
author = {Hu, Huanjun and Li, Zheng and Li, Lin and Yang, Hui and Zhu, Haihong},
biburl = {https://www.bibsonomy.org/bibtex/2041f7789406fde41871f29b43354756c/dblp},
ee = {https://doi.org/10.1109/ACCESS.2020.2964760},
interhash = {a4e57d671a5c623fef304e86d02298cc},
intrahash = {041f7789406fde41871f29b43354756c},
journal = {IEEE Access},
keywords = {dblp},
pages = {14606-14619},
timestamp = {2020-02-08T11:38:34.000+0100},
title = {Classification of Very High-Resolution Remote Sensing Imagery Using a Fully Convolutional Network With Global and Local Context Information Enhancements.},
url = {http://dblp.uni-trier.de/db/journals/access/access8.html#HuLLYZ20},
volume = 8,
year = 2020
}