The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy.
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%0 Journal Article
%1 journals/ijgi/BoonprongCCNXA18
%A Boonprong, Sornkitja
%A Cao, Chunxiang
%A Chen, Wei
%A Ni, Xiliang
%A Xu, Min
%A Acharya, Bipin Kumar
%D 2018
%J ISPRS Int. J. Geo Inf.
%K dblp
%N 7
%P 274
%T The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy.
%U http://dblp.uni-trier.de/db/journals/ijgi/ijgi7.html#BoonprongCCNXA18
%V 7
@article{journals/ijgi/BoonprongCCNXA18,
added-at = {2020-09-05T00:00:00.000+0200},
author = {Boonprong, Sornkitja and Cao, Chunxiang and Chen, Wei and Ni, Xiliang and Xu, Min and Acharya, Bipin Kumar},
biburl = {https://www.bibsonomy.org/bibtex/2842ba62689f66b4600033b6938d09052/dblp},
ee = {https://doi.org/10.3390/ijgi7070274},
interhash = {bd7956a5a679775ba1d496d48bd1bd16},
intrahash = {842ba62689f66b4600033b6938d09052},
journal = {ISPRS Int. J. Geo Inf.},
keywords = {dblp},
number = 7,
pages = 274,
timestamp = {2020-09-09T11:46:05.000+0200},
title = {The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy.},
url = {http://dblp.uni-trier.de/db/journals/ijgi/ijgi7.html#BoonprongCCNXA18},
volume = 7,
year = 2018
}
