A joint Bayesian optimization for the classification of fine spatial resolution remotely sensed imagery using object-based convolutional neural networks
In recent years, deep learning-based image classification has become widespread, especially in remote sensing applications, due to its automatic and strong feature extraction capability. However, as deep learning methods operate on rectangular-shaped image patches, they cannot accurately extract obj...
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Main Authors: | Azeez, Omer Saud, M. Shafri, Helmi Z., Alias, Aidi Hizami, Haron, Nuzul Azam |
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Format: | Article |
Published: |
Multidisciplinary Digital Publishing Institute
2022
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Online Access: | http://psasir.upm.edu.my/id/eprint/100159/ https://www.mdpi.com/2073-445X/11/11/1905 |
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