Adaptive Granulation-Based Convolutional Neural Networks With Single Pass Learning for Remote Sensing Image Classification
Convolutional neural networks (CNNs) with the characteristics like spatial filtering, feed-forward mechanism, and back propagation-based learning are being widely used recently for remote sensing (RS) image classification. The fixed architecture of CNN with a large number of network parameters is ma...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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IEEE
2023-01-01
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| Edice: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/9954889/ |