Remote Sensing & Machine Learning

The Remote Sensing & Machine Learning course will combine the knowledge from the Digital Image Processing & Analysis and Spatial Modeling & Statistics course with that of the Machine Learning and AI experiential work. This course will teach students how to use machine learning for object detection within a selected platform. They will learn how to interpret results from this detection and how to analyze the accuracy of it. Students will apply these skills within different geographies from an area of interest to global object detections. Students will also learn how to train the object detection model to increase the accuracy of results and how to apply this training to different and distinct geographies. The prerequisite for this course is DS 430.