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OBJECT-BASED RANDOM FOREST CLASSIFICATION OF LAND COVER FROM REMOTELY SENSED IMAGERY FOR INDUSTRIAL AND MINING RECLAMATION
Reclamation Area Classification of Land Use Random Forest Grid-search Object-based Multi-resolution Segmentation Multi-feature Variables
2018/5/11
The RF method based on grid-search parameter optimization could achieve a classification accuracy of 88.16 % in the classification of images with multiple feature variables. This classification ...