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Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images
As a new machine learning approach, the extreme learning machine (ELM) has received much attention due to its good performance. However, when directly applied to hyperspectral image (HSI) classification, the recognition rate is low. This is because ELM does not use spatial information, which is very...
שמור ב:
| הוצא לאור ב: | Sensors (Basel) |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5713108/ https://ncbi.nlm.nih.gov/pubmed/29137159 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17112603 |
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