School of Computational Sciences
Fall 2000 Course
CSI 759/Phys 590
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.
THURSDAY7:20
– 10:00 PM
Building
Science & Technology I, Room 310
Fairfax
Campus