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[1] Remote Sensing

    °­ÀDZ³Àç: Remote Sensing of the Environment - An Earth Resource Perspective (J. R. Jensen, 2000. Prentice Hall)

    ½Ç½À±³Àç: PGSteamer 4.0 Tutorial

1. Remote Sensing of the Environment

2. Electromagnetic Radiation Principles

3. History of Aerial Photography and Aerial Platforms

4. Aerial Photography - Vantage Point, Cameras, Filters, and Film

5. Element of Visual Image Interpretation

6. Photogrammetry

7. Multispectral Remote Sensing Systems

8. Thermal Infrared Remote Sensing

9. Active and Passive Microwave, and LIDAR Remote Sensing

10. Remote Sensing of Vegetation

11. Remote sensing of Water

12. Remote Sensing the Urban Landscape

13. Remote Sensing of Soils, Minerals, and Geomorphology

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  References:

        1. Wangsness, R. K., 1986. Electromagnetic Fields, 2nd Ed. Wiley.

        2. Ulaby, F. T. and Elachi, C., 1990. Radar Polarimetry for Geoscience Applications, Artech House, Inc.

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  Software Materials: PolSARpro - The Polarimetric SAR Data Processing and Educational Tool

        - PolSARpro Homepage (ESA)     

        - PolSARpro v3.0 Software for Windows (RS/GIS Server)

        - PolSARpro v3.0 Demo data (RS/GIS Server)

        - PolSARpro v3.0 Tutorials (RS/GIS Server)

 

  Course:

    1. Introduction of radar polarimetry and a seminar given by Dr. Sang Eun Park (U. of Renes)

    2. PolSARpro installation

        DIY 1: Getting started with PolSARpro

    3. A brief introduction of electromagnetic fields and the Maxwell's equations

    4. EM wave equations, plane waves and their polarization

    5. Polarization state vectors

        - Jones vector, Stokes vector, modified Stokes vector

      Scattering matrices

        - Jones matrix, Mueller matrix, modified Mueller Matrix)

    6. Polarization synthesis

        - Jones, Stokes, Modified Stokes, Covariance, JPL   

      Canonical scattering mechanisms

        - sphere, dihedral, trihedral, cylinder

      Target polarimetric descriptors

        - Sinclair matrix, Pauli scattering vector, Lexicographic scattering vector

        - Muller matrix, Kennaugh matrix, Coherency matrix (Huynen parameters)

        - Covariance matrix

    7. Polarization Decomposition

        - Pauli Decomposition of scattering matrix [S]

        - Krogager Decomposition of scattering matrix [S]

        - Cameron Decomposition of scattering vector

        - Freeman Decomposition of covariance matrix <[C3]>

        - Huynen Decomposition of coherency matrix <[T3]>

        - H/A/alpha decomposition of coherency matrix <[T3]> and classification

    8. DIYs

        DIY 2: Representations of polarimetric information

        DIY 3: Speckle filtering

    9. DIYs

        DIY 4: Polarimetric Decompositions

        DIY 5: Polarimetric Segmentation

            (A tip defining training areas in Graphic Editor: De-yellow the selection tool before Save)

    10. DIYs

        DIY 6: ENVISAT ASAR Dual Polarization Case (Download dataset, 852MB)

        DIY 7: POLINSAR Training Course

    11. Term Exam (3-6pm, Tue 4 December 2007)  

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Last updated on 2009-10-23 by Prof. Hoonyol Lee.