DSSM: A Deep Neural Network with Spectrum Separable Module for Multi-Spectral Remote Sensing Image Segmentation
Over the past few years, deep learning algorithms have held immense promise for better multi-spectral (MS) optical remote sensing image (RSI) analysis. Most of the proposed models, based on convolutional neural network (CNN) and fully convolutional network (FCN), have been applied successfully on co...
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| Egile Nagusiak: | , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2022-02-01
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| Saila: | Remote Sensing |
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| Sarrera elektronikoa: | https://www.mdpi.com/2072-4292/14/4/818 |
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