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Remote Sensing Fundamentals
GEOS 5325
School of Natural Sciences and Mathematics
Introduction to remote sensing principles, sensor technologies, image preprocessing techniques, and machine learning and AI based image analysis. The class will focus on how remote sensing data can be processed to extract information in support of important urban and environmental decision making. The current generation, industry standard software is used for labs and applications development. 3 credit hours.
Offering Frequency: Fall
Grades: 11
Median GPA: A-
Mean GPA: 3.061
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Remote Sensing Fundamentals
GEOS 5325
School of Natural Sciences and Mathematics
Introduction to remote sensing principles, sensor technologies, image preprocessing techniques, and machine learning and AI based image analysis. The class will focus on how remote sensing data can be processed to extract information in support of important urban and environmental decision making. The current generation, industry standard software is used for labs and applications development. 3 credit hours.
Offering Frequency: Fall
Grades: 11
Median GPA: A-
Mean GPA: 3.061
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