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Title of Course

Advanced Concepts in Polarimetric SAR Image Analysis (NR 805)

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Credit Sructure

        L            T          P           C

        3            0           0            6

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Prerequisite, if any (for the students)

Nil

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Course Content

Polarization basis, polarized waves, stokes vector, polarization representation, transformation, synthesis, measurement of the backscattering matrix, polarimetric scattering vectors, covariance matrix, polarimetric speckle statistics, filtering, scattering mechanism interpretation, review of decomposition theorems, polarimetric SAR image segmentation, supervised and unsupervised polarimetric data classification, polarimetric interferometry, Polarimetric SAR applications for agriculture, forest, snow, soil moisture, geology, hydrology, sea-ice and ocean.

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Text / References

1. C. Elachi, and F.T. Ulaby, Radar Polarimetry for Geoscience Applications, Artech House, Norwood, MA, 1990.

2. (Ed.) Floyd M. Henderson, Anthony J. Lewis, Manual of Remote Sensing, Principles and Applications of Imaging Radar, ASPRS, 1998.

3. Giorgio Fraceschetti, Riccardo Lanari,  Synthetic Aperture Radar processing,  CRC Press, 1999.

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Instructor(s) name

Dr. Y. S. Rao

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Name of Other departments to whom the course is relevant

Civil Engineering, Earth Sciences, CESE, Electrical Engineering

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Justification

Recent developments in polarimetric SAR systems have an advantage over the existing SAR systems in identifying earth surface features. Polarimetric SAR data is also being made available from satellite platforms and as such will be one of the major data source in land feature identification. The Curriculum developed is meant to impart basic and applied knowledge in this field which will help the prospective researchers to pursue R&D in this field.