Remote Sensing Image Classification Based on Multi-Spectral Cross-Sensor Super-Resolution Combined With Texture Features: A Case Study in the Liaohe Planting Area.
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%0 Journal Article
%1 journals/access/HanFDGWX24
%A Han, Hao
%A Feng, Ziyi
%A Du, Wen
%A Guo, Sien
%A Wang, Peng
%A Xu, Tongyu
%D 2024
%J IEEE Access
%K dblp
%P 16830-16843
%T Remote Sensing Image Classification Based on Multi-Spectral Cross-Sensor Super-Resolution Combined With Texture Features: A Case Study in the Liaohe Planting Area.
%U http://dblp.uni-trier.de/db/journals/access/access12.html#HanFDGWX24
%V 12
@article{journals/access/HanFDGWX24,
added-at = {2024-02-29T00:00:00.000+0100},
author = {Han, Hao and Feng, Ziyi and Du, Wen and Guo, Sien and Wang, Peng and Xu, Tongyu},
biburl = {https://www.bibsonomy.org/bibtex/28290452dd3a13a536fa84dca443dcb6d/dblp},
ee = {https://doi.org/10.1109/ACCESS.2024.3358812},
interhash = {908af3b16a8402323db10e1ae58895ee},
intrahash = {8290452dd3a13a536fa84dca443dcb6d},
journal = {IEEE Access},
keywords = {dblp},
pages = {16830-16843},
timestamp = {2024-04-08T13:54:15.000+0200},
title = {Remote Sensing Image Classification Based on Multi-Spectral Cross-Sensor Super-Resolution Combined With Texture Features: A Case Study in the Liaohe Planting Area.},
url = {http://dblp.uni-trier.de/db/journals/access/access12.html#HanFDGWX24},
volume = 12,
year = 2024
}