Remote Sensing & Machine Learning
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Overview
Description
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.
Prerequisite: DS 430.
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.
Prerequisite: DS 430.
Career
Undergraduate
Credits
Value
3