On the Eigenvalue Analysis Using HH-VV Dual-Polarization SAR Data and its Applications to Monitoring of Coastal Oceans

Title
On the Eigenvalue Analysis Using HH-VV Dual-Polarization SAR Data and its Applications to Monitoring of Coastal Oceans
Author(s)
Sugimoto; Kazuo; 양찬수
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2013-04-30
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.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/27112
Bibliographic Citation
SPIE Defense, Security, and Sensing, pp.1 - 8, 2013
Publisher
SPIE
Type
Conference
Language
English
Publisher
SPIE
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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