Machine learning classifiers &Classifier ensample : improvement of land cover classification

Language: English

Published by LAP LAMBERT Academic Publishing, 2023

6206845869 / 9786206845867

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - There are an emergent machine learning(ML) algorithms to classify land-cover and land-use. In this book we focus on the relatively mature methods (seven methods) support vector (SVM) machines, decision trees (DTs), artificial neural networks, k-nearest neighbours (k-NN), naïve Bayes, Boosting and Random forest (RF).Accurate and timely collection of urban land use and land cover information is crucial for many aspects of urban development and environment protection.Accurate land covers classification is challenging. Improving land cover classification is a hot topic. It is needed for many applications such as land use land cover mapping environmental monitoring, natural resource management, urban planning, and management and change detection. Then a number of ensample methods were studied to combine various classifiers.

Seller Inventory # 9786206845867

Title
Machine learning classifiers &Classifier ensample : improvement of land cover classification
Author
Asmaa Mandouh
Publisher
LAP LAMBERT Academic Publishing
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206845869
ISBN 13
9786206845867
Item weight
96 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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