Description: This course will provide the requisite materials to understand advanced hyperspectral imaging (HSI) technology and multi-sensor concepts. It will cover 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 Advanced Hyperspectral Concepts, Multi-System Tradeoffs, Data Collection and Processing Systems, Imaging Radar Systems, Laser Systems, Calibration Techniques, Data Fusion, Quantitative Remote Sensing Techniques, Data Compression Techniques, Case Studies, and U.S National Policy. The quantitative remote sensing techniques will include N-Dimensional Analysis to include literal and non-literal information extraction techniques. Applications and case studies will include environmental, medical, military, agricultural, transportation, and others. Ground, airborne, and spaceborne systems will be covered.
Course Objective: To provide students with an introduction to modern advanced hyperspectral remote sensing techniques and the basic fundamental physics involved in this technology. The course will prepare the student to (1) undertake graduate advanced 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 quantitative spectral remote sensing, 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 Hyperspectral Imaging, and an undergraduate degree, 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 (rgomez@gmu.edu)
Office: Science & Technology I, Room 301
Office Hours: Tuesdays 3:30 pm to 5: 30 pm (other hours by appointment)
Phone: (703) 993-3629 – Office, (703) 250 – 2839 – Home
Class Dates and Times: Science & Technology I, Room 310, Thursdays 7:20 pm to 10:00 pm. First day of class is 30 August 2001 and last day of class is 6 December 2001