Description: 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.
Course Objective: To provide students with an introduction to modern hyperspectral remote sensing techniques and the basic fundamental physics involved in this technology. The course will prepare the student to (1) undertake graduate research in hyperspectral image processing and related areas, (2) prepare the student to participate in professional activities in this field of study, (3) broaden the student’s background in the general field of spectral remote sensing and image processing, and (4) prepare the student to explore finding applications of this enabling technology to areas of interest to specific users.
Prerequisites: An introductory course on Remote Sensing, or Earth Science, or Atmospheric Physics, or Space Science, or Permission of Instructor.
Text: Remote Sensing Digital Image Analysis: An Introduction, John A. Richards and Xiuping Jia, 3rd Revised and Enlarged Edition, Springer-Verlag, Berlin, 1999.
Grading: Assigned Project and Oral Presentation – 70%
Mid-Term Take-Home Exam – 20%
Class Participation and Group Discussion – 10%
Instructor: Dr. Richard B. Gomez
Office: Science & Technology I, Room 301
Office Hours: Tuesdays 3:30 pm to 6: 30 pm (other hours by appointment)
Phone: (703) 993-3629 – Office, (703) 250 – 2839 – Home
E-mail: rgomez@gmu.edu
Class: Building Science & Technology I, Room 310, Thursdays 7:20 to 10:00 pm
First day of class is 31st August and last day of class is 7th December 2000
Lab/Computer Room: Science & Technology I, Room 228