Machine Learning in Remote Sensing and GIS: Progress, Applications, and Future Prospects
Keywords:
Machine Learning, Supervised learning techniques, classificationAbstract
This research paper explores the intersection of machine learning, remote sensing, and Geographic Information Systems (GIS) with a focus on state-of-the-art systems, applications, and future developments. Machine learning techniques have made significant progress in recent years, enhancing data analysis, classification, and prediction functions to provide better and more efficient solutions in remote sensing and GIS.
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