| Introduction to Spectral Sensing with Applications in Intelligence | |
| Course # | SME 201 |
| Partner | Sinclair Community College |
| Date | 16 Jun 2010 - 24 Aug 2010 |
| Availability | |
| Hours | 6:00-8:50 PM Mondays |
| Location | ATIC - Dayton, OH |
| Instructional Hours | 3 |
| Fees | www.sinclair.edu |
| Security | Varies |
| Classification | Unclassified |
| Prerequisites | SME 121, Approval of Chairperson | Dress Code | Business Casual |
| Who Should Attend | Those interested in receiving an Associate Degree/Certificate in ATI |
| How You Will Benefit | The course of instruction is open to US Citizens only and is designed to familiarize students with the ATI field providing them core knowledge of the collection and analysis methods applied by ATI professionals to solve today's hardest intelligence problems. | Instructor | TBD |
| For More Information | Call 937-429-7601 or visit www.atichcd.org |
| Course Description |
| Science and technology behind Spectral Remote Sensing, underlying phenomenology being sensed, how the information is collected, and the advantages and disadvantages of the technology. U.S. citizenship required. |
| What You Will Cover |
| 1. Reviewbasic physics as it pertains to the interaction of light with both the atmosphereand surface of the Earth.
2. Identifyand characterize specific spectral signatures 3. Identifyand define primary instrument characteristics and design criteria 4. Identifyand list major ground-based, airborne and spaceborne spectral remote sensinginstruments 5. Listand describe the important stages and decisions made during mission 6. Planning- explaining trade-offs and the advantages and disadvantages of each choicedescribed in objective 5. 7. Summarizetypical pre and post processing of spectral data. 8. Outlinegeneral analysis procedures applied to spectral data 9. Listtypical types of data products and applications · Define and understand the limitations of data products whencharacterized spatially, temporally, and based on resolution. · Define and interpret data products and applications |