Despeckling Multitemporal Polarimetric SAR Data Based on Tensor Decomposition

被引:2
作者
Luo, Jiayin [1 ,2 ]
Zhang, Lu [1 ,3 ]
Dong, Jie [4 ,5 ]
Lopez-Sanchez, Juan M. [2 ]
Wang, Yian [4 ,6 ]
Feng, Hao [1 ]
Liao, Mingsheng [1 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
[2] Univ Alicante, Inst Comp Res, E-03080 Alicante, Spain
[3] Wuhan Univ, Hubei Luojia Lab, Wuhan 430079, Peoples R China
[4] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
[5] Wuhan Univ, Hubei Luojia Lab, Wuhan 430079, Peoples R China
[6] Univ Politecn Cataluna, CommSensLab, Barcelona 08034, Spain
基金
中国国家自然科学基金;
关键词
Adaptive estimation; multitemporal polarimetric synthetic aperture radar (PolSAR); speckle; statistically homogeneous pixels (SHPs); tensor decomposition; SPECKLE REDUCTION; IMAGES; NOISE; MODEL; CLASSIFICATION; STATISTICS; DRIVEN;
D O I
10.1109/JSTARS.2023.3266823
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:10285 / 10300
页数:16
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