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1 Ergebnisse
1
Hyper Spectral Spatial Image Segmentation Using Machine Lea..:
, In:
2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM)
,
G, Saravanan
;
A, Suresh
;
J, Jagannathan
... - p. 458-462 , 2023
Link:
https://doi.org/10.1109/iTechSECOM59882.2023.10434969
RT T1 <cTitle>2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM)</cTitle>: T1 <Title>Hyper Spectral Spatial Image Segmentation Using Machine Learning Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10434969&Exemplar=1&LAN=DE A1 G, Saravanan A1 A, Suresh A1 J, Jagannathan A1 L, Thanga Mariappan A1 Majeeth, Najeem Dheen Abdul A1 Kumar, Nithish YR 2023 K1 Image segmentation K1 Fitting K1 Estimation K1 Bayes methods K1 Classification algorithms K1 Logistics K1 Markov random fields K1 Strong Markov random fields (SMRFs) K1 k-dependence Bayesian (KDB) K1 Hyper spectral images (HSI) K1 maximum a posteriori probability (MAP) K1 Symmetric Iterative Proportional Fitting (SIPF) K1 Improved Multilevel logistic (IMLL) SP 458 OP 462 LK http://dx.doi.org/https://doi.org/10.1109/iTechSECOM59882.2023.10434969 DO https://doi.org/10.1109/iTechSECOM59882.2023.10434969 SF ELIB - SuUB Bremen
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