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Hyperspectral & Multispectral Imaging
Summary
This three-day class is designed for engineers,
scientists and other remote sensing professionals
who wish to become familiar with multispectral
and hyperspectral remote sensing technology.
Students in this course will learn the basic
physics of spectroscopy, the types of spectral
sensors currently used by government and
industry, and the types of data processing used
for various applications. Lectures will be
enhanced by computer demonstrations. After
taking this course, students should be able to
communicate and work productively with other
professionals in this field. Each student will
receive a complete set of notes and the textbook,
Remote Sensing of the Environment, 2nd edition,
by John R. Jensen.
Instructor
William Roper holds PhD Environmental
Engineering, Mich. State University and BS and
MS in Engineering, University of Wisconsin. He
has served as: Engineer Officer, US Army, Senior
Manager Environmental Protection Agency,
Director Corps of Engineers World-wide Civil
Works Research & Development Program,
Director & CEO Army Geospatial Center,
Professor and Chair Dept. of Civil &
Environmental Engineering Dept, George
Washington Univ.and Director, Environmental
Services Dept. & Chief Environmental Officer,
Arlington County. He is currently serving as:
Research Professor, GGS Dept. George Mason
University, Visiting Professor, Johns Hopkins
University, Senior Advisor, Dawson & Associates
and President and Founding Board Member,
Rivers of the World Foundation. His research
interests include remote sensing and geospatial
applications, sustainable development,
environmental assessment, water resource
stewardship, and infrastructure energy efficiency.
Dr. Roper is the author of four books, over 150
technical papers and speaker at numerous
national and international forums.
March 6-8, 2012
Columbia, Maryland
$1795 (8:30am - 4:00pm)
"Register 3 or More & Receive $100 00 each
Off The Course Tuition."
Taught by an internationally
recognized leader & expert
in spectral remote sensing!
Course Outline
1. Introduction to Multispectral and
Hyperspectral Remote Sensing.
2. Sensor Types and Characterization.
Design tradeoffs. Data formats and systems.
3. Optical Properties For Remote
Sensing. Solar radiation. Atmospheric
transmittance, absorption and scattering.
4. Sensor Modeling and Evaluation.
Spatial, spectral, and radiometric resolution.
5. Multivariate Data Analysis. Scatterplots.
Impact of sensor performance on data
characteristics.
6. Spectral Data Processing. Scatterplots,
impact of sensor performance on data
characteristics.
7. Hyperspectral Data Analysis. Frequency
band selection and band combination assessment.
8. Matching sensor characteristics to
study objectives. Sensor matching to specific
application examples.
9. Classification of Remote Sensing Data.
Supervised and unsupervised classification;
Parametric and non-parametric classifiers.
10. Application Case Studies. Application
examples used to illustrate principles and show
in-the-field experience.
What You Will Learn
• The properties of remote sensing systems.
• How to match sensors to project applications.
• The limitations of passive optical remote
sensing systems and the alternative systems
that address these limitations.
• The types of processing used for classification
of image data.
• Evaluation methods for spatial, spectral,
temporal and radiometric resolution analysis.
10 – Vol. 109 Register online at www.ATIcourses.com or call ATI at 888.501.2100 or 410.956.8805