Historically, physical modelling and machine learning have often been treated as two different fields with very different scientific paradigms (theory-driven versus data-driven). Yet, in fact these approaches are complementary, with physical approaches in principle being directly interpretable and offering the potential of extrapolation beyond observed conditions, whereas data-driven approaches are highly flexible in adapting to data and are amenable to finding unexpected patterns (surprises).
Expain the approach how image analysis follows the physical model of solar radiation interacting with the Earths surface and the atmosphere
Explain the approach how image analysis follows the physical model of solar radiation interacting with the Earths surface and the atmosphere
New