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, non-parametric, and machine learning\A1-based decision rules; and techniques for validating classification accuracy. Classification techniques for hyperspectral imagery will also be covered.

Repeat for Credit
N

Requisites
Prerequisite: GEOG 605 or equivalent.

Typically Offered
Fall, Spring

Kansas State University

Course Catalog

GEOG 705 - Thematic Remote Sensing