Assignments

Syllabus           

Lecture 1

Lecture 2

Lecture 3

Lecture 4

Lecture 5

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 Space, 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.  Ground, airborne, and spaceborne hyperspectral 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 (1) prepare the student to 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, Earth Science, Digital  Image Processing, Physics, or Space Science, or EOS 840 “Hyperspectral Imaging Applications” or Permission of Instructor.

 Text:  Hyperspectral Imaging: Techniques for Spectral Detection and Classification, by Chein-I Chang, Kluwer Academic Publishers 2003.

 Class:  Innovation Hall Building, Room 326, Fridays, 4:30 pm to 7:10 pm

               First day of class is 23^rd of January and last day of class is 30^th of April 2004