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This video is a product of Virginia View, funded by America View, and created in partnership with the Virginia geospatial Extension Program and GeoTed UAS. It discusses the importance of evaluating the effectiveness of training samples for remote sensing. Training samples for each informational class should have independent spectral values with no overlap, represent the full range of spectral values for a specific class, avoid overtraining with too many similar examples, and reflect a normal distribution of values. The video emphasizes the need for quality control when creating training samples to accurately represent variability within classes.
