Hyperspectral and Multispectral Sensing

Course Description

Multispectral and hyperspectral imaging techniques represent methods of remote imaging spectroscopy that rely on natural radiation sources in an uncontrolled environment. This course explores remote spectral sensing techniques and examines significant technical issues associated with multispectral and hyperspectral imaging, including basic principles of spectroscopy, phenomenology of radiation-material interactions, fundamentals of hyperspectral signal processing techniques, and hyperspectral sensor design issues. Advantages and disadvantages of spectral sensing for defense, security, and commercial applications will be reviewed and discussed. If available, there will be a demonstration of a functioning hyperspectral sensor.

Course ID: DEF 3013P
Course Format: Classroom

Important Course Information

This course is restricted to US citizens who are industrial and/or government employees and complete the Access Eligibility Form.

Eligibility questions should be directed to 404-407-6661.  Attendees must fax the Access Eligibility Form to 404-407-9395.  

Laptop computers will not be permitted in the classroom and storage will not be available.

Available Classroom Sections

Start Date End Date Registration Deadline Format Location Cost CRN
Section Details Oct 23, 2018 Oct 25, 2018 Oct 23, 2018 Classroom Atlanta, GA $1,695 18310
View previous sections
View Previous Sections
CRN Start date End date Format Location Cost
17678 Nov 7, 2017 Nov 9, 2017 Classroom Atlanta, GA $1,695

Who Should Attend

System analysts, sensor engineers, image analysts, computer scientists involved in algorithm development, and technical procurement decision-makers

How You Will Benefit

  • Learn the background and history of spectral sensing
  • Master the basic principles of EO-IR spectral sensing
  • Understand the issues associated with hyperspectral processing including band selection, noise distributions, and false alarm sources
  • Learn the basis of radiation-material interaction for remote spectral sensing
  • Explore atmospheric and environmental interactions and corrections
  • Master image, signal, and data-processing techniques including band selection issues
  • Examine sensor design and signal-to-noise issues
  • Investigate various data collection methods

Content

  • Spectral Remote Sensing
  • History and Applications of Image-based Remote Sensing
  • Introduction to Spectroscopy
  • Characteristics of Spectral Remote Sensing Systems
  • Radiation Sources
  • Phenomenology of the Atmosphere
  • Phenomenology of targets or objects of interest
  • Data Acquisition and Interpretation
  • Commercial Applications of MS and HSI systems
  • Defense Applications of MS and HSI systems
  • Spectral Sensors
  • Overview and Specification of Sensor Requirements
  • Detectors
  • Spectral Radiometric Measurements
  • Data collection methods
  • Preprocessing and Calibration
  • Reflective and Emissive Radiation Methods
  • Performance Degradations
  • Sensor Issues in Band Selection
  • Performance Analysis of Imaging Systems
  • Airborne and Spaceborne Sensors
  • Materials Phenomenology
  • Spectral & Reflectance Properties of Materials
  • Modeling and Simulation Tools
  • General modeling requirements
  • Standard modeling tools and descriptions
  • Algorithms for Spectral Target Detection and Characterization
  • Signal Processing Techniques
  • Single Band Processing
  • Spectral Processing
  • Change Detection
  • Terrain Characterization - Thematic Mapping
  • Subpixel Processing

For Course-Related Questions

Please contact the course administrator: Michael Cathcart, Ph.D.