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Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
Although multiresolution segmentation (MRS) is a powerful technique for dealing with very high resolution imagery, some of the image objects that it generates do not match the geometries of the target objects, which reduces the classification accuracy. MRS can, however, be guided to produce results...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2014
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4183749/ https://ncbi.nlm.nih.gov/pubmed/25284960 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isprsjprs.2014.07.002 |
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