Pixel-wise Classification of Hyperspectral Images with 1D Convolutional SVM Networks

Nowadays, remote sensing image analysis is needed in various important tasks such as city planning, land-use classification, agriculture monitoring, military surveillance, and many other applications. In this context, hyperspectral images can play a useful role, but require specific handling. This p...

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Veröffentlicht in:	IEEE access 2022-01, Vol.10, p.1-1
Hauptverfasser:	Shafaey, Mayar A., Melgani, Farid, Salem, Mohammed A.-M., Al-Berry, Maryam N., Ebied, Hala M., El-Dahshan, El-Sayed A., Tolba, Mohamed F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Color imagery Convolutional neural network Datasets feedforward learning Filter banks Hyperspectral imaging hyperspectral signature Image analysis Image classification Land use management machine learning pixel-based classification Pixels Remote sensing Spatial resolution support vector machine Support vector machines Urban planning
Online-Zugang:	Volltext
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