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Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System

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Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System Moon-Kyung Kang1*, Kwang-Eun Kim2, Hoonyol Lee3, Seong-Jun Cho4 and ... – PowerPoint PPT presentation

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Title: Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System


1
Polarimetric Characteristics of Fully
Polarization SAR Image Observed by Ground-Based
SAR System
Moon-Kyung Kang1, Kwang-Eun Kim2, Hoonyol Lee3,
Seong-Jun Cho4 and Jae-Hee Lee5 1,2,4,5 Korea
Institute of Geoscience and Mineral Resources,
Daejeon, Republic of Korea, kangmk_at_kigam.re.kr 3,
5 Department of Geophysics, Kangwon National
University, Suncheon, Republic of Korea
  • INTRODUCTION
  • RESULTS
  • Alpha parameter
  • Entropy (H) parameter
  • Ground-Based SAR (GB-SAR) systems
  • monitoring tools for agriculture, terrain
    mapping, man-made structures
  • ground surface deformation detection and
    displacement measurement
  • dams, bridges, and so on
  • using SAR interferometric techniques.
  • SAR Polarimetry Technique
  • for analysis of more detailed physical and
    biophysical features of various surface target
  • understanding of scattering characteristics
    about a single or distributed targets.
  • Many researchers have been interested in
    classification, decomposition, and modelling of
    polarimetric SAR data in recent literature.
  • The objective behind efforts is better
    understanding about the scattering mechanism that
    give rise to the polarimetric characteristics
    seen in SAR image data.
  • The purpose of this paper
  • This work was focused on application study of
    the developed GB-SAR system based on SAR
    polarimetry techniques as a preliminary study.
  • analyzing the dominant scattering properties
    about different surface targets such as trees,
    grasses, a human-made structure, and several
    permanent scatterers
  • using H/A/Alpha polarimetric decomposition
    algorithms.

a-gt 0 a single scattering (rough surface) a -gt
45 volume scattering a -gt 90 double-bounce
scattering
H0 a pure target H1 truly a random noise
process
  • An example of Wishat-H/A/Alpha classification
    (_41)
  • METHODOLOGY
  • GB-SAR System
  • Test site
  • Korea Institute of Geoscience and Mineral
    Resources (KIGAM) field
  • for operation and performance test of GB-SAR
    system
  • Five permanent scatterers
  • Measurement Date 3-5 November, 2008
  • Temporal variation Wishart-H/A/Alpha1
    classification Results

Center frequency 5.3 GHz (C-band)
Range bandwidth 600 MHz
IF BW 1 KHz
Number of point 1601
Power VNA 0 dBm, Amp 33 dBm
Azimuth step 5 cm
Azimuth length 5 m
Polarization HH, HV, VH, VV
Test site (KIGAM)
  • Image Processing
  • Used software
  • SAR focusing processing gbsar processor (by
    Kangwon National University)
  • PolSAR processing PolSARpro open software
    package

  • (http//envisat.esa.int/polsarpro)
  • The main PolSAR processing
  • H/A/Alpha decomposition and analysis
  • Unsupervised Wishart H/A/Alpha classification
  • RESULTS
  • The dominant colors over grass and trees areas
  • -gt pink, white, green, blue
  • white -gt equal amplitude over all polarimetric
    channel
  • green -gt a dominant HV component
  • pink-magenta -gt VV, HH gt HV
  • 5 permanent scatterers
  • white and magenta
  • CONCLUSIONS
  • The objective of this study has been to assess a
    geophysical application of fully polarimetric SAR
    data measured by the GB-SAR system in order to
    extracting relevant information about surface
    scattering properties.
  • From the classification results, we can consider
    that the dominant scattering property of
    different surface targets such as natural or
    man-made targets varies depending on targets
    material types and their environmental
    conditions.
  • It is expected that GB-SAR system will be a
    convenient tool for measurement and analysis of
    polarimetic properties for various target on the
    Earth.
  • ACKNOWLEDGEMENTS
  • (a) atmosphere temperature variation graph
    during entire measurement period
  • (b) phase variation graph of HH, HV, VH and VV
    polarizations at a permanent scatterer (ps_1)
  • (a) and (b) graphs show similar distribution

This research was supported by a grant
(07KLSGC03) from Cutting-edge Urban Development -
Korean Land Spatialization Research Project
funded by Ministry of Land, transport and
Maritime Affairs of Korean government.
  • REFERENCES

_155
_7
_80
Lee, J.-S. and Pottier, E., 2009. Polarimetric
Radar Imaging From Basics to Applications, CRC
Press. Lee, H., Cho, S.-J., Sung, N.-H., and Kim,
J.-H., 2007a. Development of a GB-SAR (I) System
Configuration and Interferometry, Korean Journal
of Remote Sensing, 23(4), pp. 237-245. Lee, H.,
Cho, S.-J., Sung, N.-H., and Kim, J.-H., 2007b.
Development of a GB-SAR (II) Focusing
Algorithms, Korean Journal of Remote Sensing,
23(4), pp. 247-256.
_130
_56
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