Accuracy assessment of 2017 binary classification and multi-classification result (OA(Overall accuracy), PA(Producer accuracy), UA(User accuracy), ML(Maximum likelihood)).

Accuracy assessment of 2017 binary classification and multi-classification result (OA(Overall accuracy), PA(Producer accuracy), UA(User accuracy), ML(Maximum likelihood)).

<p>Accuracy assessment of 2017 binary classification and multi-classification result (OA(Overall accuracy), PA(Producer accuracy), UA(User accuracy), ML(Maximum likelihood)).</p>

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Bibliographic Details
Main Author:	Lei Liang (326409) (author)
Other Authors:	Jinliang Wang (476843) (author), Fei Deng (170132) (author), Deyang Kong (500702) (author)
Published:	2023
Subjects:	Biotechnology Ecology Plant Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified support vector machine popular drink worldwide kappa coefficient ofh important commercial crop xlink "> tea novel mapping method maximum likelihood method er tea plantations cnn based method oriented image analysis tea plantation areas map tea plantation 2014 &# 8211 svm )</ p plantation management proposed method cart method image texture yunnan province timely maps thresholds algorithms study area significant role present study overall accuracy make accurate largest producer growing period geometrical features foreign markets feature space decision making data source 36 acre 16 better
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