Semi-supervised PolSAR Image Classification Based on the Neighborhood Minimum Spanning Tree
In this paper, a novel semi-supervised classification method based on the Neighborhood Minimum Spanning Tree (NMST) is proposed to solve the Polarimetric Synthetic Aperture Radar (PolSAR) terrain classification when labeled samples are few. Combining the idea of self-training method and spatial info...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
China Science Publishing & Media Ltd. (CSPM)
2019-08-01
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| Serie: | Leida xuebao |
| Soggetti: | |
| Accesso online: | http://radars.ie.ac.cn/article/doi/10.12000/JR18104?viewType=HTML |
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