On the Eigenvalue Analysis Using HH-VV Dual-Polarization SAR Data and its Applications to Monitoring of Coastal Oceans
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Title
- On the Eigenvalue Analysis Using HH-VV Dual-Polarization SAR Data and its Applications to Monitoring of Coastal Oceans
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Author(s)
- Sugimoto; Kazuo; 양찬수
- KIOST Author(s)
- Yang, Chan Su(양찬수)
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Alternative Author(s)
- Kazuo; 양찬수
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Publication Year
- 2013-04-30
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Abstract
- In the conventional SAR (Synthetic Aperture Radar) polarimetry, fully polarimetric HH-HV-VH-VV quadpolarization data are used. The advantage of using quad-polarization data is more information on the scattering objects than the single- and quad-polarization data while the disadvantages are narrower swath and less frequent data takes. To fill the gap in-between, the present study examines the polarimetric analysis using HH-VV dual polarization. The model-based three- and four-component scattering power decomposition analyses are not possible with dual-polarization data, and thus, the study is focused on the eigenvalue decomposition analysis by comparing the entropy and mean alpha angle derived from dual-polarization data with those derived from quadpolarizationdata, acquired by ALOS-PALSAR (Advanced Land Observing Satellite Phased Array L-band SAR) PLR (PoLaRimetric mode) and TerraSAR-X dual-polarization SpotLight mode over the Tokyo Bay, Japan.and quad-polarization data while the disadvantages are narrower swath and less frequent data takes. To fill the gap in-between, the present study examines the polarimetric analysis using HH-VV dual polarization. The model-based three- and four-component scattering power decomposition analyses are not possible with dual-polarization data, and thus, the study is focused on the eigenvalue decomposition analysis by comparing the entropy and mean alpha angle derived from dual-polarization data with those derived from quadpolarizationdata, acquired by ALOS-PALSAR (Advanced Land Observing Satellite Phased Array L-band SAR) PLR (PoLaRimetric mode) and TerraSAR-X dual-polarization SpotLight mode over the Tokyo Bay, Japan.
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/27112
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Bibliographic Citation
- SPIE Defense, Security, and Sensing, pp.1 - 8, 2013
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Publisher
- SPIE
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Type
- Conference
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Language
- English
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