Article
Environmental Sciences
Yongzhen Li, Yemin Liu, Xinghua Liu, Shiqi Xing, Hanfeng Lv, Guoqing Wu
Summary: A new and improved generalized polarimetric model-based decomposition method is proposed in this paper, which overcomes the limitations of previous methods. By incorporating the imaginary part of the parameter beta, the nonlinear equations are simplified into linear equations for parameter inversion. A hierarchical decomposition scheme is presented to address the issue of underestimation or overestimation of volume scattering component. Experimental results show that the proposed method outperforms other decomposition methods, especially in LOB areas.
Article
Geochemistry & Geophysics
Wentao An, Mingsen Lin
Summary: This study compares and analyzes eight different model-based incoherent polarimetric decomposition algorithms, using the new concept of generalized polarimetric entropy to describe the polarimetric information change of decomposed components. The polarimetric power entropy and polarimetric residual entropy are used to respectively represent the distribution status of Span values and residual randomness of decomposed components.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Ridha Touzi, Masanobu Shimada, Takeshi Motohka
Summary: This study measured the polarimetric distortion matrix of PALSAR2 using corner reflectors deployed in the Amazonian forest, and assessed the antenna parameters. The results showed that the PALSAR2 antenna is highly isolated with very low cross-talks.
Article
Engineering, Electrical & Electronic
Jason M. Merlo, Jeffrey A. Nanzer
Summary: This article presents a low-frequency SAR radar for automotive use and showcases the opportunity to infer landmarks through measurements of co-polarized and cross-polarized scattering.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Environmental Sciences
Tingchen Zhang, Hui Lin, Jiangping Long, Huanna Zheng, Zilin Ye, Zhaohua Liu
Summary: Synthetic aperture radar (SAR) images coupled with quad-polarimetric techniques have potential for mapping forest aboveground biomass (AGB) in southern China. This study extracted rotated polarimetric features and evaluated their sensitivity to forest parameters, leading to improved accuracy in mapping forest AGB.
Article
Geochemistry & Geophysics
Cornelius Quigley, Camilla Brekke, Torbjorn Eltoft
Summary: In this study, the retrieval results for the dielectric properties of verified oil slick using airborne multifrequency synthetic aperture radar were compared. Two different inversion methods were used and the results showed consistency, especially for low dielectric values.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Dongwei Lu, Chen Pang, Yifu Guan, Dahai Dai, Dejun Feng
Summary: This paper investigates the issue of weak scattering points being contaminated by strong scattering centers in PolSAR images, and proposes a method to mitigate this effect using target null theory. By analyzing the relationship between the suppression efficiency and the system bias requirement in different working modes, the feasibility of the theoretical model is verified through electromagnetic simulations and GF-3 data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Rui Guo, Xiaopeng Zhao, Bo Zang, Yi Liang, Jian Bai, Liang Guo
Summary: In this paper, a refined model is proposed to estimate the quad-pol information for the CP mode. The proposed model shows its superiority in estimating the quad-pol information compared to typical reconstruction models. Furthermore, experiments validate the effectiveness of the reconstruction for classification applications using a complex-value convolutional neural network.
Article
Geochemistry & Geophysics
Subhadip Dey, Noelia Romero-Puig, Avik Bhattacharya
Summary: This study proposes a new method for analyzing scattering information to characterize different land cover targets more accurately, and demonstrates its effectiveness using actual data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Wentao An, Mingsen Lin, Haijun Yang
Summary: Model-based Incoherent Polarimetric Decomposition (MIPD) and a modified Reflection Symmetry Decomposition (MRSD) algorithm are introduced for analyzing PolSAR data, resulting in the creation of a user-friendly new polarimetric product.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Gustavo Daniel Martin-del-Campo-Becerra, Eduardo Torres-Garcia, Deni Librado Torres-Roman, Sergio Alejandro Serafin-Garcia, Andreas Reigber
Summary: This article extends the weighted covariance fitting (WCF) based iterative spectral estimator (WISE) to the polarimetric configuration, called PolWISE, for polarimetric synthetic aperture radar (SAR) tomography. PolWISE can extract scattering mechanisms and examine scattering patterns with higher resolution and artifact suppression ability.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Himanshu Maurya, Avik Bhattacharya, Amit Kumar Mishra, Rajib Kumar Panigrahi
Summary: Rapid advancements have been made in model-based decomposition techniques for polarimetric synthetic aperture radar (PolSAR) data. The three-component method is still extensively used due to its simplicity and ease of interpretability. Recently, the paradigm of the decomposition strategy has been changed to non-model types with notable success. Thus, using this new approach, we propose a hybrid three-component methodology in this work.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Monika Gierszewska, Tomasz Berezowski
Summary: This study investigates the influence of processing parameters on wetland classification. By using various speckle filters and decomposition methods on synthetic aperture radar (SAR) data, and applying a random forest classification model, the study finds that appropriate processing parameters are crucial for SAR data classification.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Daifeng Xiao, Zhirui Wang, Youming Wu, Xin Gao, Xian Sun
Summary: Terrain segmentation in polarimetric synthetic aperture radar (PolSAR) images is a crucial task, but traditional methods struggle with speckle noise and complex scattering mechanism. The limited utilization of amplitude data in SAR images restricts classification precision. In this paper, a novel method based on a dual-attention fusion network (DAFN) is proposed to improve classification results by incorporating polarization information.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Hao Jing, Zhirui Wang, Xian Sun, Daifeng Xiao, Kun Fu
Summary: A polarimetric space reconstruction network is proposed in this article, which arranges inputs by a spatial amplification coding method for the polarimetric coherency and scattering matrices, proposes a statistics enhancement module based on scattering characteristics, and designs a dual self-attention mechanism to capture the amplitude and phase relations of matrix element context adaptively. The method keeps the spatiality of each scattering vector and explores complementary information in fully polarimetric data, achieving accurate land cover classification for PolSAR images, especially for traditional confusing categories like water and roads.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)