IMPROVING SEMANTIC SEGMENTATION PERFORMANCE BY JOINTLY USING HIGH RESOLUTION REMOTE SENSING IMAGE AND NDSM
Semantic segmentation algorithms based on full convolutional neural network have greatly improved segmentation accuracy of high-resolution remote sensing (RS) images. However, the interpretation of RS images from single sensor is still challenging due to the variety and complexity of land objects, t...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Copernicus Publications
2022-05-01
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| Col·lecció: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Accés en línia: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/77/2022/isprs-annals-V-3-2022-77-2022.pdf |
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