CSI 759 & PHYS 590

“INTRODUCTION TO HYPERSPECTRAL IMAGING”

 

FALL SEMESTER 2000

 

Course Project:  Select a topic that is related to the subject matter of this course and write a scientific paper for publication in an acceptable journal and or scientific conference.  Present and defend your paper in class.  The paper may be co-authored with another class member, but each student will be evaluated by me on the quality of his or her contribution to the paper.  The paper can deal with policy and or other issues that are affecting the use of hyperspectral technology, such as potential markets and risk management.  You can also write a computer program and or present a case study for publication.  The application may address military, civil, academic, or commercial users.  Any part of the spectrum may be used and any other sensor may be considered with the hyperspectral sensor, i.e., sensor fusion. 

 

The goal is to enrich your exposure to the field of remote sensing with the emphasis on hyperspectral technology.  It is not acceptable for you to report on a paper that you have already presented in the open literature and/or internal report in your work place.  Feel free to discuss potential topics with me and with your class members.  However, I must approve your topic before you start working on it.

 

The quality of the paper, the thoroughness of the study, and the organization of your thoughts, plus the correctness of the physics, will be paramount to the grading of your project.  All presentations and submission of papers for publication must be completed by 7 December 2000.  I need proof that the paper was submitted for publication.  It does not need to be accepted by the journal or conference that you submitted it to for you to get credit for your efforts in this course.  I will be the judge of that.

 

Potential Topics may be in the field of:

 

Environmental Applications (wetlands, hydrology, monitoring, etc.)

Precision Agriculture

Health Care (food safety, medical diagnoses, etc.)

Spectrum Exploitation (e.g., terahertz frequencies exploitation)

Transportation Applications (traffic flow, disaster management, etc.)

Land Mine Detection

Biological and Chemical Detection

Law Enforcement

Littoral Studies (bathymetry, water clarity, etc.)

City Planning and Real Estate

Disaster Mitigation

Camouflage, Concealment, Detection

Sensor Fusion (SAR plus HSI and/or Laser)

Image Processing Tools (computer algorithms)      

 

Students Projects

 

Dave Williams