Degree of Polarization-Based Data Filter for Fully Polarimetric Synthetic Aperture Radar

• Fang, Shang

• Naoto, Kishi

• Akira, Hirose

抄録

This paper proposes a novel data filtering algorithm for fully polarimetric synthetic aperture radar (PolSAR) based on the degree of polarization (DoP) information. First, we define the homogeneity degree and polarization independence degree using the DoP information, and propose a feature plane to characterize the target feature. Second, employing the feature plane, we categorize the targets into three types and assign specific filtering policy for each type to estimate the optimal filtering window sizes. Finally, the $T$ -matrices of fully PolSAR data are filtered using the windows with estimated optimal sizes. Compared with boxcar filter, refined Lee filter, scattering model-based filter, and improved sigma filter in processing ALOS2-PALSAR2 data, the proposed DoP-based algorithm presents the best filtering performance.

source:https://doi.org/10.1109/TGRS.2018.2887102

収録刊行物

• IEEE Transactions on Geoscience and Remote Sensing

  IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3767-3777, 2019-06

  IEEE

キーワード

• Filtering algorithms
• radar polarimetry
• synthetic aperture radar

詳細情報

• CRID: 1050564289152510208
• NII論文ID: 120006727081
• ISSN: 01962892
• ISSN: 15580644
• DOI: 10.1109/tgrs.2018.2887102
• Web Site: http://id.nii.ac.jp/1438/00009308/
• Web Site: http://xplorestaging.ieee.org/ielx7/36/8723409/08606441.pdf?arnumber=8606441
• 本文言語コード: en
• 資料種別: journal article
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