ATI's Hyperspectral and Multispectral Imaging course
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: The Image Chain Approach. View course sampler Read Dr. Gomez's techincal white papers
Instructor:
Dr. Richard Gomez over the years has served as a physical scientist, director, and instructor in industry, government, and academia. In industry he has worked for Texas Instruments and the Analytic Services (ANSER), INC. In the government, he has served in the Civil Senior Executive Service for the United States Army Corps of Engineers. In academia, he has served as Research Professor at George Mason University (GMU) and as Principal Research Scientist at the Center for Earth Observing and Space Research (CEOSR). In the 2010 spring semester at GMU he taught graduate courses that involved the scientific and technology fields of hyperspectral imaging and high resolution remote sensing. Dr. Gomez is internationally recognized as a leader and expert in the field of spectral remote sensing (multispectral, hyperspectral and ultraspectral) and has published extensively in scientific journals. He has organized and chaired national and international conferences, symposia and workshops. He earned his doctoral degree in physics from New Mexico State University. He also holds an M.S. and a B.S. in physics. Dr. Gomez has served as Director for the ASPRS Potomac Region and as Remote Sensing Chair for the IEEE-USA Committee on Transportation and Aerospace Technology Policy.
Image registration. Resampling and its effect on spectral
analysis.
Data and sensor fusion. Spatial versus spectral algorithms.
Classification of remote sensing data. Supervised and
unsupervised classification. Parametric and nonparametric
classifiers. Application examples.
Hyperspectral data analysis.
Tuition:
Tuition for this three-day course is $1690 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ati@ATIcourses.com.