GEOG 705 - Thematic Remote Sensing.

Credits: 3

Introduction to digital image analysis in remote sensing, with an emphasis on extraction of thematic information from imagery. Emphasizes mastery of both practical classification techniques and the theory behind those techniques. Topics covered include preparing imagery
for classification; per-pixel and object-based classification techniques; use of parametric, nonparametric, and machine learning\AI-based decision rules; and techniques for validating classification accuracy. Classification techniques for hyperspectral imagery will also be covered.

Requisites:
Prerequisite: GEOG 605 or equivalent.

Typically Offered
Fall, Spring

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Kansas State University

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GEOG 705 - Thematic Remote Sensing.