Prerequisites:
An introductory course on Remote Sensing, or Earth Science, or
Atmospheric Physics, or Hyperspectral Imaging, or Permission of Instructor.
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.
Textbook:
Remote Sensing Digital Image Analysis: An Introduction, John A.
Richards and Xiuping Jia, 3rd Revised and Enlarged Edition,
Springer-Verlag, Berlin, 1999.
THURSDAYS
7:20 – 10:00 PM
Science
& Technology I, Room 310
Fairfax
Campus