🏙️ Building Footprint Mapping from Hyperspectral Imagery Using Point-Based Random Forest Classification in Python 📄 Overview: This project presents a robust and efficient approach to building ...

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1 School of Finance, Xuzhou University of Technology, Xuzhou, China 2 School of Artificial Intelligence and Software College, Jiangsu Normal University Kewen College, Xuzhou, China Introduction: ...

We propose an improved random forest classifier that performs classification with a minimum number of trees. The proposed method iteratively removes some unimportant features. Based on the number of ...

A real time remote sensing satellite image segmentation and classification using machine learning algorithm of K-Mean algorithm and comparison with the Random Forest to increase the precision rate.

Lake ice-water classification of RADARSAT-2 images by integrating IRGS segmentation with pixel-based random forest labeling ...