Academic Journal
SAR Time Series Despeckling Based on Additive Signal Component Decomposition in Logarithm Domain
العنوان: | SAR Time Series Despeckling Based on Additive Signal Component Decomposition in Logarithm Domain |
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المؤلفون: | Jian KANG, Fengyu TONG, Yusong BAI, Xiang DING, Tengyu JI, Zhe ZHANG |
المصدر: | Leida xuebao, Vol 12, Iss 5, Pp 1031-1043 (2023) |
بيانات النشر: | China Science Publishing & Media Ltd. (CSPM), 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Electricity and magnetism |
مصطلحات موضوعية: | speckle noise suppression, nonlocal filtering, sar image denoising, sar image time series, Electricity and magnetism, QC501-766 |
الوصف: | With the substantial improvement of Synthetic Aperture Radar (SAR) regarding swath width and spatial and temporal resolutions, a time series obtained by registering SAR images acquired at different times can provide more accurate information on the dynamic changes in the observed areas. However, inherent speckle noise and outliers along the temporal dimension in the time series pose serious challenges for subsequent interpretation tasks. Although existing state-of-the-art methods can effectively suppress the speckle noise in a SAR time series, outliers along the temporal dimension will interfere with the denoising results. To better solve this problem, this paper proposes an additive signal decomposition method in the logarithm domain that can suppress the speckle noise and separate stable data and outliers along the temporal dimension in a time series, thus eliminating the impact of outliers on the denoising results. When the simulated data are disturbed by outliers, the proposed method can achieve an approximately 3 dB improvement in the Peak Signal-to-Noise Ratio (PSNR) compared to the other state-of-the-art methods. On Sentinel-1 data, the proposed method robustly suppresses the speckle noise in a time series, and the obtained outliers along the temporal dimension provide reference data for subsequent interpretation tasks. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English Chinese |
تدمد: | 2095-283X |
Relation: | https://doaj.org/toc/2095-283X |
DOI: | 10.12000/JR22242 |
URL الوصول: | https://doaj.org/article/facffce21a3e462fba2a27de5a4ea80b |
رقم الانضمام: | edsdoj.facffce21a3e462fba2a27de5a4ea80b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 2095283X |
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DOI: | 10.12000/JR22242 |