Program ID: DEF 3009P
Program type: Short Courses (weekday)
CEUs: 2.25 |
There are no sections available for registration to this course at this time.
If you want to request an offering of this course, please contact us.
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Course Description
New sensors and methods are continually under development to provide solutions to difficult detection and classification problems in environmental monitoring, homeland security, and defense. Explore advanced techniques of information processing, analysis, and modeling for remote sensing data. Develop a detailed understanding of data analysis techniques for different optical and infrared sensors and the application of physics-based models in this process. Gain hands-on experience through daily computational exercises using real data.
Who Should Attend
- Engineers
- Scientists
- System analysts
- Sensor engineers
- ISR professionals
- Individuals transferring between technical fields
- Individuals working on programs with a remote sensing component
How You Will Benefit
- Master data analysis techniques for optical and infrared sensors
- Develop advanced image processing techniques
- Learn modeling approaches for land and ocean surfaces
- Gain broadband and multispectral data classification methods
- Examine data fusion concepts for information extraction
- Get application specific details for land and ocean sensing
- Explore advanced concepts for remote sensing
- Gain hands-on experience with data processing methods
What You Will Cover
- Optical Sensor Data Analysis
- Infrared Sensor Data Analysis
- Advanced Image Processing
- Computational Exercises
- Signature Modeling - Land, Atmosphere, and Oceans
- Sensor Models
- Data Classification Methods
- Computational Exercises
- Data Fusion Approaches
- Applications - Land Surfaces, Oceans, and Atmosphere
- Computational Exercises
- Advanced Remote Sensing Concepts
Course Materials
Participant will receive a notebook and CD-ROM with lecture notes and examples.
Prerequisites
Fundamentals of Earth Remote Sensing is recommended.
Certificates
This course is an elective for the Infrared & Electro-Optical Technology Certificate.
The Instructors
Michael Cathcart received the B.S., M.S. and Ph.D. degrees in Physics from the Georgia Institute of Technology. He is a Principal Research Scientist at the Georgia Institute of Technology and holds a joint appointment with the School of Physics and as a Research Faculty member with the Georgia Tech Research Institute in the Electro-Optics System Laboratory. His research interests include physics-based modeling and simulation of visible and infrared phenomenology for active and passive sensors, target signature computations, electro-optical sensor performance studies and laser lethality analyses. Currently, Dr. Cathcart leads research programs that employ passive and active systems for remote sensing applications. He is a member of IEEE, APS and SPIE.
Nick Faust received the B.S. degree in Physics and M.S. degree in Geophysical Sciences from the Georgia Institute of Technology. He is a Principal Research Scientist at the Georgia Institute of Technology and serves as the Associate Director for the Georgia Tech Center for GIS. His research interests include remote sensing, automatic image processing techniques, spatial analysis for geological applications; conservation applications of remote sensing, GIS, and Visualization; visualization, virtual 3D GIS, and distributed spatial databases. Most recently, Mr. Faust has developed techniques for the interactive visualization of three and four dimensional (including time) and is a co-developer of the Georgia Tech Virtual Geographic Information System (GT-VGIS). He is an SPIE Fellow and co-founder of Earth Resources Digital Analysis Systems (ERDAS).
Course Administrator
For more information about this course or an offering at your location, contact:
Michael Cathcart
404-407-6028
michael.cathcart@gtri.gatech.edu
Course Location and Times
Atlanta, Georgia Tech Global Learning Center
8:30 a.m. to 5 p.m. Tuesday-Thursday
8:30 a.m. to noon Friday
On the first day, check in at least 30 minutes before class start time.
Related Courses
Airborne/Space Courses
Antenna Courses
Electronic Warfare Technology Courses
Infrared & Electro-Optical Technology Courses
Modeling & Simulation Courses
Radar Courses
Systems Engineering Courses
Test & Evaluation Courses
Related Certificate Programs
Defense Technology Certificates
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