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Degree of Polarization-Based Data Filter for Fully Polarimetric Synthetic Aperture Radar
https://uec.repo.nii.ac.jp/records/9385
https://uec.repo.nii.ac.jp/records/93855c40ce6e-8ed5-42af-a3c5-bc71aeee7a33
名前 / ファイル | ライセンス | アクション |
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TGRS2019 (4.5 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-10-03 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Degree of Polarization-Based Data Filter for Fully Polarimetric Synthetic Aperture Radar | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Filtering algorithms | |||||
キーワード | ||||||
言語 | en | |||||
主題 | radar polarimetry | |||||
キーワード | ||||||
言語 | en | |||||
主題 | synthetic aperture radar | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Shang, Fang
× Shang, Fang× Kishi, Naoto× Hirose, Akira |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. | |||||
書誌情報 |
en : IEEE Transactions on Geoscience and Remote Sensing 巻 57, 号 6, p. 3767-3777, 発行日 2019-06 |
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出版者 | ||||||
出版者 | IEEE | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0196-2892 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1109/TGRS.2018.2887102 | |||||
権利 | ||||||
権利情報 | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is not the published version. Please cite only the published version. | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1109/TGRS.2018.2887102 | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |