School of Computational Sciences
Spring 2002 Course
CSI 759 & PHYS 590
Introduction
to Hyperspectral Imaging
Dr. Richard B. Gomez
Prerequisites: An
introductory course on Remote Sensing, or Earth Science, or Atmospheric
Physics, or Space Science, or Permission of Instructor.
This course
will provide the requisite materials to understand hyperspectral imaging (HSI)
technology and its many civil and military applications.The emphasis will be
on the scientific principles involved and the transition of the technology
to real world applications.Topics that will be covered include hyperspectral
concepts and system tradeoffs, data collection systems, calibration
techniques, HSI data processing software and data processing techniques,
classification techniques, case studies, and U.S National Policy issues.The
data processing techniques will include N-Dimensional Scatterplots, Spectral
Angle Mapping, Spectral Mixture Analysis, Spectral Matching, Mixture Tuned
Matched Filtering, and other techniques.Applications and case studies will
include environmental, medical, agricultural, military, and others.Both
airborne and spaceborne systems will be covered.
Textbook:
Remote Sensing Digital Image Analysis: An Introduction, John A.
Richards and Xiuping Jia, 3rd Revised and Enlarged Edition,
Springer-Verlag, Berlin, 1999.
Monday (starting the 28th of January) from 4:30PM to 7:10PM
Enterprise
Hall (ENT), Room 173, Fairfax
Campus