Remote Sensing and Radiometry

Learning Outcomes

  1. Describe remote sensing applications
  2. Review electromagnetic scattering and applications
  3. Combine electromagnetic waves and signal processing ideas
  4. Review Inverse Synthetic-Aperture radar and Synthetic-Aperture radar ideas
  5. Explain main image reconstruction algorithms implementations
  6. Use main image reconstruction algorithms
  7. Compare main image reconstruction algorithms and their implementations

Forms of Teaching

Lectures

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Week by Week Schedule

  1. Radio-frequency spectrum for remote sensing
  2. Passive and active remote sensing
  3. Quantum theory of radiation, Black-body radiation
  4. Planck and Rayleigh-Jeans law of radiation
  5. Gray-body radiation: gray-body emissivity
  6. Background temperature; Brightness temperature
  7. Interferometric antenna systems
  8. Midterm exam
  9. Synthetic aperture antennas
  10. Radiometric temperature of the antenna
  11. Dicke radiometer
  12. Construction and calibration of a radiometer
  13. Applications of radiometry
  14. Energy; Energy density; Spectral power; Spectral power density, Radiation intensity; Brightness; Emissivity; Reflectivity; Absorptivity; Transmissivity, Molecular resonances of athoshperic gases
  15. Final exam

Study Programmes

University graduate
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Literature

Margaret Cheney, Brett Borden (2009.), Fundamentals of Radar Imaging, SIAM
Mark A. Richards (2013.), Fundamentals of Radar Signal Processing, Second Edition, McGraw Hill Professional

For students

General

ID 222515
  Winter semester
5 ECTS
L3 English Level
L1 e-Learning
45 Lectures

Grading System

85 Excellent
75 Very Good
60 Good
50 Acceptable