Mapping heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image segmentation and classification
Considering the high-level details in an ultrahigh-spatial-resolution (UHSR) unmanned aerial vehicle (UAV) dataset, detailed mapping of heterogeneous urban landscapes is extremely challenging because of the spectral similarity between classes. In this study, adaptive hierarchical image segmentation...
| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
MDPI
2020
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| Acesso em linha: | http://psasir.upm.edu.my/id/eprint/38105/1/38105.pdf |