Scene classification for aerial images based on CNN using sparse coding technique

Antennas; Classification (of information); Codes (symbols); Convolution; Image classification; Neural networks; Remote sensing; Satellite imagery; Semantics; Unmanned aerial vehicles (UAV); Convolutional Neural Networks (CNN); Future applications; High resolution remote sensing imagery; Mid-level fe...

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Bibliographic Details
Main Authors: Qayyum A., Malik A.S., Saad N.M., Iqbal M., Faris Abdullah M., Rasheed W., Rashid Abdullah T.A., Bin Jafaar M.Y.
Other Authors: 57211138712
Format: Article
Published: Taylor and Francis Ltd. 2023
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Summary:Antennas; Classification (of information); Codes (symbols); Convolution; Image classification; Neural networks; Remote sensing; Satellite imagery; Semantics; Unmanned aerial vehicles (UAV); Convolutional Neural Networks (CNN); Future applications; High resolution remote sensing imagery; Mid-level features; Multi-scale features; Robust performance; Scale invariant feature transforms; Scene classification; Image coding; aircraft; artificial neural network; image classification; satellite imagery; unmanned vehicle