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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-06-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2018.5069 |