Description
In this research works (2 papers), we evaluate the pros and cons of using tree-based kernels (Random Forest Kernels and Extra-Trees Kernels) in an SVM compared to using the conventional Radial Basis Function (RBF) kernel, standard Random Forest, and standard Extra-Trees classifier. A time series of seven multispectralWorldView-2 images acquired over Sukumba (Mali) are used to illustrate these studies.
Date made available | 4 Feb 2020 |
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Publisher | DANS easy |
Date of data production | 3 Feb 2020 |