RMS 6280 — Automated Feature Extraction for the Geospatial Professional
2 semester hoursGraduateLecture
Introduces machine learning and automated feature extraction software and how it is utilized for image interpretation. Explores various techniques and workflows associated with collecting features of interest from multiple data sources, e.g., aerial and satellite imagery, LiDAR, and elevation data. Students use AFE software to solve real-world problems in exercises corresponding to concepts introduced in weekly lessons. Offers students an opportunity to learn how to use feature extraction to create industry-standard analytical products and develop processing models for automation. Discusses the fundamentals of machine learning, supervised and unsupervised classification, hierarchical learning, postprocessing, cleanup, automation, modeling, and publication.