Bag of words KAZE (BoWK) with two‐step classification for high‐resolution remote sensing images
The bag‐of‐words (BoW) model has been widely used for scene classification in recent state‐of‐the‐art methods. However, inter‐class similarity among scene categories and very high spatial resolution imagery makes its performance limited in the remote‐sensing domain. Therefore, this research presents...
Kaydedildi:
| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Wiley
2019-06-01
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| Seri Bilgileri: | IET Computer Vision |
| Konular: | |
| Online Erişim: | https://doi.org/10.1049/iet-cvi.2018.5069 |
| Etiketler: |
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