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- W2900963434 abstract "The detailed, accurate and frequent land cover and crop-type mapping emerge as essential for several scientific communities and geospatial applications. This paper presents a methodology for the semi-automatic production of land cover and crop type maps using a highly analytic nomenclature of more than 40 classes. An intensive manual annotation procedure was carried out for the production of reference data. A class nomenclature based on CORINE land cover Level-3 was employed along with several additional crop-type classes. Multitemporal surface reflectance Landsat-8 data for the year of 2016 were used for all classification experiments with a linear SVM classifier. Quantitative and qualitative evaluation highlighted the efficiency of the proposed approach achieving high accuracy rates. Further analysis on individual classes' performance highlighted the challenges in the proposed classification scheme as well as important outcomes regarding the spectral behavior of the considered categories." @default.
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- W2900963434 date "2018-07-01" @default.
- W2900963434 modified "2023-10-14" @default.
- W2900963434 title "Towards Joint Land Cover and Crop Type Mapping with Numerous Classes" @default.
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- W2900963434 doi "https://doi.org/10.1109/igarss.2018.8517473" @default.
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