Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification
Rapid progress in deep learning (DL) is benefitting almost all fields including ‘Remote Sensing’. Until now several deep convolutional neural networks (DCNN) are proposed, every one of them gives distinct results according to its depth as well as hyperparameters. It’s very arduous to develop these D...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-03-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098621001269 |