PSRN: Polarimetric Space Reconstruction Network for PolSAR Image Semantic Segmentation
To accurately extract various ground objects from polarimetric synthetic aperture radar (PolSAR) images is a challenging research topic. The deep convolutional neural networks are widely used in SAR segmentation due to their remarkable performance in optical remote sensing images. However, they are...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2021-01-01
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| Serie: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/9551750/ |
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