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The Classification of Noise-Afflicted Remotely Sensed Data ..:
Boonprong, Sornkitja
;
Cao, Chunxiang
;
Chen, Wei
...
ISPRS International Journal of Geo-Information. 7 (2018) 7 - p. 274 , 2018
Link:
https://doi.org/10.3390/ijgi7070274
RT Journal T1 <Title>The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_ijgi7070274&Exemplar=1&LAN=DE A1 Boonprong, Sornkitja A1 Cao, Chunxiang A1 Chen, Wei A1 Ni, Xiliang A1 Xu, Min A1 Acharya, Bipin Kumar PB MDPI AG YR 2018 SN 2220-9964 JF ISPRS International Journal of Geo-Information VO 7 IS 7 SP 274 LK http://dx.doi.org/https://doi.org/10.3390/ijgi7070274 DO https://doi.org/10.3390/ijgi7070274 SF ELIB - SuUB Bremen
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