Despeckling Multitemporal Polarimetric SAR Data Based on Tensor Decomposition
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Título: | Despeckling Multitemporal Polarimetric SAR Data Based on Tensor Decomposition |
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Autor/es: | Luo, Jiayin | Zhang, Lu | Dong, Jie | Lopez-Sanchez, Juan M. | Wang, Yian | Feng, Hao | Liao, Mingsheng |
Grupo/s de investigación o GITE: | Señales, Sistemas y Telecomunicación |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal |
Palabras clave: | Statistically homogeneous pixels (SHPs) | Multitemporal polarimetric SAR (PolSAR) | Tensor decomposition | Adaptive estimation | Speckle |
Fecha de publicación: | 13-abr-2023 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023, 16: 10285-10300. https://doi.org/10.1109/JSTARS.2023.3266823 |
Resumen: | Despeckling is an essential task in polarimetric synthetic aperture radar (PolSAR) image processing. Most of the existing filters developed for multitemporal synthetic aperture radar (SAR) images make use of either real or complex information. Real information refers to amplitude or intensity values, whereas complex information refers to complex covariance matrix (CCM) derived from either interferometric SAR (InSAR) or PolSAR data. The InSAR CCM is formed using images of the same polarimetric channel but acquired at different dates, and the PolSAR CCM contains information acquired simultaneously in different polarimetric channels. Therefore, these despeckling methods may present good performance in some applications and scenes but fail in other cases, due to differences in input sources. In order to achieve a more robust result in all cases, we develop a method for multitemporal polarimetric SAR data filtering based on tensor decomposition, which aims at improving the identification of homogeneous pixels for spatially adaptive filtering. The key element of this approach consists of exploiting tensor theory to construct a new CCM that contains both polarimetric and interferometric information, as well as multitemporal information for each pixel. The effectiveness of the proposed method and its performance are evaluated with simulated and real SAR data in comparison with several established methods. |
Patrocinador/es: | This work was supported by the ESA-MOST China DRAGON-5 project with ref. 59339, by the Spanish Ministry of Science and Innovation, the State Agency of Research (AEI), and the European Funds for Regional Development under grant PID2020-117303 GB-C22, by the Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital in the framework of the project CIAICO/2021/335 and by the Open Fund of Hubei Luojia Laboratory, China (Grant No. 220100040). |
URI: | http://hdl.handle.net/10045/133856 |
ISSN: | 1939-1404 (Print) | 2151-1535 (Online) |
DOI: | 10.1109/JSTARS.2023.3266823 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1109/JSTARS.2023.3266823 |
Aparece en las colecciones: | INV - SST - Artículos de Revistas |
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