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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Detalles Bibliográficos
Autores principales: Belgiu, Mariana, Drǎguţ, Lucian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183749/
https://www.ncbi.nlm.nih.gov/pubmed/25284960
http://dx.doi.org/10.1016/j.isprsjprs.2014.07.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183749/
https://www.ncbi.nlm.nih.gov/pubmed/25284960
http://dx.doi.org/10.1016/j.isprsjprs.2014.07.002

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