Article
Geochemistry & Geophysics
Dong-Xiao Yue, Feng Xu, Alejandro C. Frery, Yaqiu Jin
Summary: This article extends the discussion on SAR image statistical modeling to spatial correlation analysis, focusing on SAR spatial correlation models and clutter simulation methods. It summarizes two types of spatial correlation models and reviews four clutter simulation methods based on different distributions, providing references for further research in this area.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2021)
Article
Geochemistry & Geophysics
Floriane Madeleine Schreiber, Sebastien Angelliaume, Charles-Antoine Guerin
Summary: The two-scale model based on Bragg tilting is widely used to model radar cross section from the sea surface, but it has difficulties in consistently describing the polarized sea clutter statistics in the upper microwave band. A simple correction proposed in this study brings the model in better agreement with observations, allowing for a more accurate description of polarized sea clutter statistics in the upper microwave regime.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Lapo Miccinesi, Alberto Michelini, Massimiliano Pieraccini
Summary: This article proposes an acquisition modality and image processing technique to mitigate blurring in GBSAR images caused by moving clutter. By filtering out high-frequency clutter and using high-frequency sampling, the authors have demonstrated the effectiveness of these methods in a realistic quarry scenario.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
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
Geochemistry & Geophysics
Michael K. Newey, Joshua M. Kantor, Gerald R. Benitz
Summary: This work focuses on improving SAR autofocus methods for moving targets, incorporating higher motion order terms to improve image quality and reduce blurring in target signatures.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Qinglong Hua, Zhang Yun, Huilin Mu, Yicheng Jiang, Dan Xu
Summary: This letter proposes a framework for sea clutter suppression in synthetic aperture radar (SAR) based on a new self-supervised training strategy and a complex-valued UNet++ network model. Experimental results show that the proposed method has a better effect in suppressing sea clutter and preserving target energy.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Chaolei Han, Zhiwei Yang, Qingjun Zhang, Penghui Huang, Huanjian Xu
Summary: The paper proposes a new method for clutter suppression in multi-channel SAR systems in the inshore region, extracting core feature tensors and using affine invariant Riemannian method to differentiate different clutter regions, effectively identifying and suppressing azimuth ambiguities.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Shen Tan, Xin Zhang, Han Wang, Le Yu, Yanlei Du, Junjun Yin, Bingfang Wu
Summary: A novel self-supervised SAR denoising model is proposed, which can be trained without a noise-free image and restore spatial details through a hybrid loss function. Experiments show that the method outperforms traditional approaches in terms of noise reduction and feature preservation.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Nertjana Ustalli, Gerhard Krieger, Michelangelo Villano
Summary: This article discusses the design of a low-cost synthetic aperture radar (SAR) for detecting illegal vessels. The radar can be implemented using a small satellite, with reduced transmit power and high resolution. Minimum requirements for noise equivalent sigma zero and resolution are derived based on ship statistics extracted from TerraSAR-X data. The design utilizes a low pulse repetition frequency to increase the swath width without using digital beamforming.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jiapeng Yin, Marc Schleiss, Xuesong Wang
Summary: A new signal recovery technique based on kriging in the spectral domain is proposed in this study to address clutter contamination in weather radar applications.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Huaping Xu, Shuangying Xiao, Zhaohong Li, Shuang Wang, Wei Liu, Jingwen Li
Summary: The novel SAR imaging method based on MCA effectively suppresses strong background clutter and separates target signals. By constructing clutter dictionary and target dictionary, the SAR echo is decomposed using the MCA method to obtain the ultimate SAR image.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yuri Alvarez Lopez, Jaime Laviada, Ana Arboleya, Fernando Las-Heras
Summary: Synthetic aperture radar (SAR)-based microwave imaging systems are widely used in various applications. The scanning speed is a crucial factor in SAR imaging systems, and widening the distance between measurements can increase it. However, this causes the presence of grating lobes that degrade the quality of microwave SAR images. To address this issue, a novel methodology is proposed in this study, which incorporates the amplitude and phase of the field radiated by the transmitting and receiving antennas in the backpropagation imaging algorithm. This method exploits the directive pattern of the antennas to reduce the level of grating lobes in SAR images.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Matthew Dvorsky, Mohammad Tayeb Al Qaseer, Reza Zoughi
Summary: This paper describes a synthetic aperture radar (SAR) 3-D polarimetry method using a radially polarized antenna. By developing a 3-D target scattering model and an image reconstruction algorithm, 3-D polarimetry imaging and orientation estimation of targets can be achieved.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Geochemistry & Geophysics
Mihai Datcu, Zhongling Huang, Andrei Anghel, Juanping Zhao, Remus Cacoveanu
Summary: This article proposes a new paradigm for explainability in SAR data, using explainable data transformations and AI methods to gain a better understanding and knowledge feedback.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2023)
Article
Geochemistry & Geophysics
Simon Zwieback, Franz J. Meyer
Summary: The study found pervasive deviations from Gaussianity in repeat-pass radar interferometric data, especially in areas with naturally heterogeneous surfaces. Permanent texture has a significant impact on intensity heterogeneity related to phase heterogeneity. Accounting for heterogeneity has a moderate impact on phase estimates and estimated uncertainty in deformation analyses, but can improve phase estimation accuracy and uncertainty estimates in inherently heterogeneous areas.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Zhaocheng Wang, Lan Du, Hongtao Su
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2018)
Article
Geochemistry & Geophysics
Zhaocheng Wang, Lan Du, Peng Zhang, Lu Li, Fei Wang, Shuwen Xu, Hongtao Su
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2018)
Article
Geochemistry & Geophysics
Zhaocheng Wang, Lan Du, Jiashun Mao, Bin Liu, Dongwen Yang
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2019)
Article
Engineering, Electrical & Electronic
Lu Li, Lan Du, Zhaocheng Wang
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2018)
Article
Geochemistry & Geophysics
Lan Du, Yan Wang, Weitong Xie, Zhaocheng Wang, Jian Chen
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2020)
Article
Geochemistry & Geophysics
Zhaocheng Wang, Ruonan Wang, Xiaoya Fu, Kewen Xia
Summary: Traditional ship detection methods for synthetic aperture radar mainly utilize amplitude information and have limitations. The proposed unsupervised ship detection method based on multiscale saliency and complex signal kurtosis shows high accuracy and efficiency in single-channel SAR images.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Aerospace
Jiaqiu Ai, Zhilin Pei, Baidong Yao, Zhaocheng Wang, Mengdao Xing
Summary: This article proposes an automatic identification system (AIS) data aided Rayleigh constant false alarm rate (AIS-RCFAR) ship detection algorithm of multiple-target environment in synthetic aperture radar (SAR) images. The algorithm effectively eliminates high-intensity outliers in the local background window while accurately modeling the probability density function of the sea clutter. It greatly enhances the detection rate and reduces the false alarm rate.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Ruonan Wang, Zhaocheng Wang, Kewen Xia, Huanxin Zou, Jun Li
Summary: In recent years, real-valued convolutional neural networks (CNNs) have been successful in synthetic aperture radar (SAR) target recognition. However, SAR images have complex information and limited samples, which pose challenges for traditional CNNs. This article proposes a complex-valued CNN for target recognition in single-channel SAR images, utilizing both amplitude and phase information and employing a data augmentation method. Experimental results show that this algorithm outperforms traditional real-valued CNNs.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Geochemistry & Geophysics
Dongxu Zhang, Jingfei He, Yatong Zhou, Donghua Chen, Zhaocheng Wang
Summary: Simultaneous reconstruction and denoising is crucial for accurate interpretation and processing of seismic data. We proposed a hybrid method that combines low-rank and sparsity constraints with Hankel structure preservation to improve performance. The method utilizes the efficiency of sparsity-promoting transforms and the adaptability of rank reduction methods, while preserving the predefined Hankel structure. Weighted nuclear norm minimization is also introduced to assign different weights to singular values. Experimental results on synthetic and field seismic data show the superiority of our method compared to other state-of-the-art methods.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)