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ATI's Hyperspectral and Multispectral Imaging course


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Summary:

    Technical Training Short On Site Course Quote

      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. Case studies of applications will be used throughout the course. 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, Second Edition, by John R. Jensen,ISBN: 0-13-188950-8.

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    Tuition:

    Instructors:

      William Roper, P.E. holds a PhD in 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, Career Member Federal Senior Executive Service, Professor and Chair Dept. of Civil & Environmental Engineering Dept, George Washington University, Director, Environmental Services Dept. & Chief Environmental Officer, Arlington County and Senior Scientist at the Center for Earth Observing and Space Research. He is currently serving as: Research Professor, Geography and GeoInformation Science Dept. George Mason University, a Visiting Professor, Johns Hopkins University, Senior Advisor, Dawson & Associates and President & Founding Board Member, Rivers of the World Foundation and leading a number of consulting efforts with the private sector. He has also served as science and technology advisor to the National Geospatial Intelligence Agency and the National Institute of Standards and Technology. His research interests include remote sensing and geospatial applications, sustainable development, environmental assessment, water resource stewardship, and infrastructure energy efficiency. He teaches graduate courses in the science and technology of remote sensing and GIS applications which include the application of multispectral, hyperspectral, utraspectral and high spatial resolution imagery. He has organized and chaired multiple national and international conferences, symposia and workshops. He is an elected member of the National Academies' Committee on Critical Transportation Infrastructure Protection, the New York Academy of Science and the. National Civil Engineering Research Council. He has also lead international research, development and assistance programs in Japan, the Peoples Republic of China, India, Ethiopia, Egypt, Brazil, United Kingdom, Russia and the Philippines. Dr. Roper is the author of four books, over 150 technical papers and scientific journal articles as well as presenting at numerous national and international forums.

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    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

    Course Outline:

    1. Introduction to Multispectral and Hyperspectral Remote Sensing
    2. Sensor types and characterization. Design trade-off applications
    3. Optical properties for remote sensing.
    4. Sensor modeling and evaluation. Spatial, spectral, and radiometric
    5. Multivariate Data Analysis. Scatterplots, impact of sensor performance on data characteristics
    6. Assessment of unique signature characteristics. Differentiation of water, vegetation, soils and urban infrastructure.
    7. LIDAR systems and applications.
    8. Hyperspectral Data Analysis. Frequency band selection and band combination assessment
    9. Matching sensor characteristics to study objectives. Sensor matching to specific application examples
    10. Classification of Remote Sensing Data. Supervised and unsupervised classification; Parametric and non-parametric classifiers
    11. Application case studies. Application examples used to illustrate principles and show in-the-field experience

    
    
    Tuition:

      Tuition for this three-day course is $1895 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.

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