טוען...
Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification
Spectral-spatial classification has been widely applied for remote sensing applications, especially for hyperspectral imagery. Traditional methods mainly focus on local spatial similarity and neglect nonlocal spatial similarity. Recently, nonlocal self-similarity (NLSS) has gradually gained support...
שמור ב:
| הוצא לאור ב: | Sensors (Basel) |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021858/ https://ncbi.nlm.nih.gov/pubmed/29795020 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18061695 |
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