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Remote Sensing Applied to the Extraction of Road Geometric Features Based on Optimum Path Forest Classifiers, Northeastern Brazil
Author(s) -
M. Macedo,
Maria Maia,
Emília Kohlman Rabbani,
Oswaldo Lima Neto
Publication year - 2020
Publication title -
journal of geographic information system
Language(s) - English
Resource type - Journals
eISSN - 2151-1969
pISSN - 2151-1950
DOI - 10.4236/jgis.2020.121002
Subject(s) - geography , extraction (chemistry) , remote sensing , path (computing) , computer science , cartography , forestry , artificial intelligence , pattern recognition (psychology) , chemistry , chromatography , programming language

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