Remote Sensing Digital Image Analysis

Catalog description

Prerequisites: MATH 2000 and MATH 2450 , or consent of instructor. This course covers commonly-used techniques for remote sensing digital images. Specifically, it covers remote sensing image pre-processing techniques, including radiometric normalization and geometric correction, manipulating satellite data with different formats, image classification, and land use change detection. This course focuses on core mathematical principles, with only a secondary look at implementation. Credit cannot be earned for both MATH 4480 and MATH 5480 .