Multilabel Remote Sensing Image Classification with Capsule Networks

Topcu M., Dede A., EKEN S., SAYAR A.

2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020, Ankara, Türkiye, 26 - 27 Haziran 2020 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/hora49412.2020.9152917
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Kocaeli Üniversitesi Adresli: Evet

Özet

© 2020 IEEE.As a result of the developments in remote sensing technologies, the classification of remote sensing images according to user needs has gained great attention in recent years. Deep learning techniques are also known to increase the classification performance of remote sensing. In this study, image classification is made with capsule networks, which are deep artificial neural network model, on the multilabel datasets-Ankara Hyperspectral Image Archive and UC Merced Land Use. The performance of the classification is measured with various performance metrics.