9786202025409 - development of a method for forest type detection de lópez hernández, juan ygnacio (6 resultados)
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Librería: moluna, Greven, Alemaniamoluna
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EUR 52,90
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 192 pages. 8.66x5.91x0.44 inches. In Stock.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Development of a Method for Forest Type Detection | Juan Ygnacio López Hernández | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202025409 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter:… preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Delineation of forest types was made from 6 scenes of LANDSAT data and validated with National Forest Inventory (NFI) of Germany. Boundary of forest types was used from the official ATKIS vector data to cut out only forest cover. Al…gorithms for classification were selected to distinguish forest types with training data from NFI and used machine learning approach implemented in caret package of R statistical language. Both pixel based and object based image analysis (PBIA and OBIA) were applied. OBIA resulted the best approach. Mixed behavior was found in the accuracy of the classifications. In general the SVM was the best for 4 of the 6 scenes under evaluation. KNN and RF resulted the best for the rest of the scenes. General schema of the procedure is presented and tips for using every classification algorithm are disused. 192 pp. Englisch.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 64,90
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Delineation of forest types was made from 6 scenes of LANDSAT data and validated with National Forest Inventory (NFI) of Germany. Boundary of forest types was used from the official ATKIS vector data to cut out only forest cover. Algori…thms for classification were selected to distinguish forest types with training data from NFI and used machine learning approach implemented in caret package of R statistical language. Both pixel based and object based image analysis (PBIA and OBIA) were applied. OBIA resulted the best approach. Mixed behavior was found in the accuracy of the classifications. In general the SVM was the best for 4 of the 6 scenes under evaluation. KNN and RF resulted the best for the rest of the scenes. General schema of the procedure is presented and tips for using every classification algorithm are disused.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 65,68
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delineation of forest types was made from 6 scenes of LANDSAT data and validated with National Forest Inventory (NFI) of Germany. Boundary of forest types was used from the official ATKIS vector data to cut out only forest cover. Algorit…hms for classification were selected to distinguish forest types with training data from NFI and used machine learning approach implemented in caret package of R statistical language. Both pixel based and object based image analysis (PBIA and OBIA) were applied. OBIA resulted the best approach. Mixed behavior was found in the accuracy of the classifications. In general the SVM was the best for 4 of the 6 scenes under evaluation. KNN and RF resulted the best for the rest of the scenes. General schema of the procedure is presented and tips for using every classification algorithm are disused.
