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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...

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Hlavní autoři: Usman Muhammad, Weiqiang Wang, Abdenour Hadid, Shahbaz Pervez
Médium: Artigo
Jazyk:Inglês
Vydáno: Wiley 2019-06-01
Edice:IET Computer Vision
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On-line přístup:https://doi.org/10.1049/iet-cvi.2018.5069
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