Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
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Comparison of Kappa coefficients for various classification results for... | Download Scientific Diagram
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C
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Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and change detection | SpringerLink
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Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis - ScienceDirect
An Accuracy Analysis Comparison of Supervised Classification Methods for Mapping Land Cover Using Sentinel 2 Images in the Al
Comparison of Four Classification Methods to Extract Land Use and Land Cover from Raw Satellite Images for Some Remote Arid Area
Exploring machine learning algorithms for mapping crop types in a heterogeneous agriculture landscape using Sentinel-2 data. A c
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Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area
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Comparison of overall accuracy and kappa score of classifications using... | Download Scientific Diagram
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