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Forest Change Monitoring Based on Block Instances Sampling and Homomorphic Hypothesis Margin Evaluation

https://doi.org/10.2139/ssrn.4664467
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Weight-Based Rotation Forest for Hyperspectral Image Classification
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Evaluation Of The Grey-level Co-occurrence Matrix Method For Land-cover Classification Using Spot Imagery
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Classification Methods for Remotely Sensed Data
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Boosting the margin: a new explanation for the effectiveness of voting methods
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Introducing a New Remote Sensing-Based Model for Forecasting Forest Fire Danger Conditions at a Four-Day Scale
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Multiple Classifier System for Remote Sensing Image Classification: A Review
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