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Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network
Building extraction from high spatial resolution remote sensing images is a hot spot in the field of remote sensing applications and computer vision. This paper presents a semantic segmentation model, which is a supervised method, named Pyramid Self-Attention Network (PISANet). Its structure is simp...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7766463/ https://ncbi.nlm.nih.gov/pubmed/33348752 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247241 |
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