Abstract: Decision tree algorithms have been successfully used for land cover classification from remote sensing data. In this paper, CART (classification ...
In recent years, decision tree algorithms have been successfully used for land cover classification from remote sensing data. In this paper, CART.
May 16, 2010 · In this paper, CART (classification and regression trees) and C5.0 decision tree algorithms were used to CBERS-02 remote sensing data. Firstly, ...
CART (classification and regression trees) and C5.0 decision tree algorithms were used to CBERS-02 remote sensing data and the classification outcome was ...
In this paper, CART (classification and regression trees) and C5.0 decision tree algorithms were used to CBERS-02 remote sensing data. Firstly, the remote ...
In this paper, CART (classification and regression trees) and C5.0 decision tree algorithms were used to CBERS-02 remote sensing data. Firstly, the remote ...
Bibliographic details on CBERS-02 Remote Sensing Data Mining Using Decision Tree Algorithm.
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CBERS-02 remote sensing data mining using decision tree algorithm. Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining
This study aims to investigate the ability of decision tree (DT) and random forest (RF) machine-learning algorithms to determine the mangrove forest ...
In this study, an attempt has been made to develop a decision tree classification (DTC) algorithm for classification of remotely sensed satellite data ...