Machine Learning Classification and Accuracy Assessment from High-Resolution Images of Coastal Wetlands

High-resolution images obtained by multispectral cameras mounted on Unmanned Aerial Vehicles (UAVs) are helping to capture the heterogeneity of the environment in images that can be discretized in categories during a classification process. Currently, there is an increasing use of supervised machine...

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書誌詳細

出版年:	Remote Sensing
主要な著者:	Ricardo Martínez Prentice, Miguel Villoslada Peciña, Raymond D. Ward, Thaisa F. Bergamo, Chris B. Joyce, Kalev Sepp
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-09-01
主題:	UAV machine learning Random Forest KNN classification comparison
オンライン･アクセス:	https://www.mdpi.com/2072-4292/13/18/3669