Thematic Remote Sensing

Catalog description

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.