In this paper, we present some recent developments of Multiple Classifiers Systems (MCS) for remote sensing applications.
The aim of this paper is to present some of the recent issues addressed by multiple classifier systems in remote sensing. Special attention will be paid to ...
In this paper, we present some recent developments of Mul- tiple Classifiers Systems (MCS) for remote sensing applications. Some standard MCS methods ...
In this paper, we present some recent developments of Multiple Classifiers Systems (MCS) for remote sensing applications. Some standard MCS methods ...
In this paper, we present some recent developments of Mul- tiple Classifiers Systems (MCS) for remote sensing applications. Some standard MCS methods (boosting, ...
In this paper, we present some recent developments of Multiple Classifiers Systems (MCS) for remote sensing applications. Some standard MCS methods ...
Experimental results demonstrate that MCS can effectively improve the accuracy and stability of remote sensing image classification, and diversity measures play ...
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This paper attempts to explicitly review the remote sensing implementations of MCS and proposes some modified approaches and provides a roadmap to guide ...
Experimental results demonstrate that MCS can effectively improve the accuracy and stability of remote sensing image classification, and diversity measures play ...
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Experimental results demonstrate that MCS can effectively improve the accuracy and stability of remote sensing image classification, and diversity measures play ...