RMS 6275 — Introduction to Machine Learning for Image Data
2 semester hoursGraduateLecture
Explores a range of machine learning routines, including image classifications and clustering, PCAs, and data reduction. Presents exercises corresponding to concepts introduced in weekly lessons. Focuses on computer thinking, algorithms involved in preprocessing, spectral and spatial enhancement, spatial analysis, and linear transformations. Utilizes a variety of data types. Offers students an opportunity to experience the journey of geospatial image data from its origin (raw data) to its end (transformation) in the context of the process, scope, and real-world scenarios.