Article
Geochemistry & Geophysics
Antonio Pepe, Pietro Mastro, Cathleen E. Jones
Summary: This article introduces an innovative space-time adaptive multilooking technique for sequence of differential synthetic aperture radar interferograms, based on directional statistics theory. The approach proposes a new method for the selection of statistically homogenous pixels, exclusively analyzing the multitemporal sequence of full resolution DInSAR interferograms, and demonstrates its effectiveness and simplicity.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Hao Feng, Lu Zhang, Jie Dong, Sihui Li, Qixuan Zhao, Jiayin Luo, Mingsheng Liao
Summary: This study maps and analyzes a flood event in the Taiyuan basin in north China in early October 2021 using multitemporal synthetic aperture radar (SAR) images. The flood event process is characterized using a spatiotemporal filter for despeckling the SAR images and classic change indicators. The joint analysis of SAR change detection results and interferometric SAR measurements suggests that land subsidence may contribute to the flood event.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xiang Ding, Jian Kang, Zhe Zhang, Yan Huang, Jialin Liu, Naoto Yokoya
Summary: In this article, a novel convolutional sparse coding method called CoComCSC is proposed for interferometric phase restoration in SAR images. CoComCSC effectively reduces noise and preserves phase details, demonstrating superior performance compared to state-of-the-art methods. The study also indicates CoComCSC's potential for generating high-resolution DEM products.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Gerardo Di Martino, Alessio Di Simone, Antonio Iodice, Daniele Riccio
Summary: This article proposes a novel benchmarking framework for quantitative assessment of multitemporal SAR imagery despeckling algorithms, utilizing both canonical scenes and data sets for analysis. The benchmarking tool relies on an accurate SAR simulator to generate realistic SAR images and evaluates performance with quality measures based on the scene. The framework is applied to state-of-the-art multitemporal filters, showing good agreement with visual inspections by SAR specialists.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jie Zhao, Yu Li, Patrick Matgen, Ramona Pelich, Renaud Hostache, Wolfgang Wagner, Marco Chini
Summary: This study introduces an urban-aware U-Net model that utilizes dual-polarization Sentinel-1 multitemporal intensity and coherence data to map the extent of flooding in urban environments. The experimental results show a significant improvement in accuracy, and the model trained with limited datasets has strong potential for real-time flood mapping.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
T. Manninen, E. Jaaskelainen
Summary: This study introduces a new method called PIMSAR for despeckling synthetic aperture radar (SAR) data, which successfully maintains high resolution while preserving the smallest details. The approach utilizes the temporal evolution of nature to establish the similarity of SAR pixels, achieving a relative accuracy better than 0.02% with rapid processing speed.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Lei Zhang, Jun Hu, Xiaoli Ding, Yangmao Wen, Hongyu Liang
Summary: Differential interferometric synthetic aperture radar (DInSAR) is an important technology for determining coseismic deformation, but its processing is often affected by various errors. In this letter, a multitemporal InSAR (MTInSAR) method is proposed to accurately determine coseismic deformation by effectively separating it from other error deformation based on the analysis of preseismic and postseismic SAR images.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Yexian Ren, Aoran Xiao, Fengming Hu, Feng Xu, Xiaolan Qiu, Chibiao Ding, Ya-Qiu Jin
Summary: This study proposes a method to enlarge the baseline aperture restricted by conventional uniform sampling arrays using coprime sampling subarrays, and generates virtual observations by estimating cross-correlation matrices. The newly generated virtual measurements offer better imaging results and the potential to improve imaging without increasing hardware cost.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Remote Sensing
Changjun Zhao, Zhen Li, Bangsen Tian, Ping Zhang, W. U. Wenhao, Shuo Gao, Yuechi Yu, Yunyun Dong
Summary: This paper proposes a new adaptive multilooking algorithm based on covariance matrix patch for selecting statistically homogeneous pixels (SHPs) and estimating the covariance matrix. Experimental results demonstrate the effectiveness of the proposed method, especially suitable for cases with only interferometric phase differences.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Engineering, Multidisciplinary
Razieh Darang, Saeed Nasri, Mansoor Zeinali
Summary: This paper presents an iterative approach to minimize phase difference error in interferometric synthetic aperture radar (InSAR) systems. The proposed method describes the interferometric phase relationships, formulates the phase unwrapping problem as an optimization issue, and converts the cost function into a submodular convex Markov random field function. Numerical studies confirm the efficiency and superiority of the proposed method in terms of elevation estimation.
Article
Geochemistry & Geophysics
Zhiyang Chen, Yuanhao Li, Cong Li, Yan Liu, Xichao Dong, Cheng Hu
Summary: This study models the geometric decorrelation in SAR observation geometry and derives an accurate analytical model. The simulation results confirm the validity of the model. It is found that unparallel tracks introduce an extra geometric decorrelation factor and worsen the geometric decorrelation compared to parallel tracks.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Jun Ni, Carlos Lopez-Martinez, Zhongbo Hu, Fan Zhang
Summary: This article proposes a new interpretation of coherence to analyze low-coherence scenarios and introduces an alternative method for information retrieval in low-coherence situations, utilizing polarimetry to optimize values.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
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
Geochemistry & Geophysics
Gert Mulder, Freek J. van Leijen, Ramon F. Hanssen
Summary: The observed phase in InSAR products is a combination of various components, including differential topography, line-of-sight displacements, and differential atmospheric delays. Isolating the atmospheric component has been challenging due to its dynamic and superposed nature. In this study, we propose a method to characterize the stochastic properties of atmospheric delays as a means to define the atmospheric signal. By using structure functions, we can describe the spatiotemporal variability of InSAR atmospheric delays and quantify atmospheric noise in deformation time series.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Remote Sensing
Anthony Carpenter, James A. Lawrence, Richard Ghail, Philippa J. Mason
Summary: Interferometric synthetic aperture radar (InSAR) is used to measure Earth surface and structural deformation, and drone InSAR offers improved spatial-temporal data resolutions. This study presents the design, simulation, fabrication, and testing of lightweight and inexpensive copper clad laminate/printed circuit board horn antennas for C-band radar deployed on a drone. The antennas achieved high gain and met the performance criteria, demonstrating the potential of CCL/PCB/FR-4 as a lightweight and inexpensive material for custom antenna production in drone radar and other antenna applications.
Review
Geochemistry & Geophysics
Shaowei Li, Wenbin Xu, Zhiwei Li
Summary: The SBAS InSAR time-series technique has become an essential tool for measuring slow surface displacement in the past 30 years. It has been widely used in various geodetic fields due to its millimeter accuracy in monitoring large-scale deformation. This article reviews the algorithms, applications, and challenges of the SBAS method, summarizes its applications in different areas, and explores the difficulties it faces and its future development direction.
GEODESY AND GEODYNAMICS
(2022)
Article
Environmental Sciences
Yushan Zhou, Xin Li, Donghai Zheng, Zhiwei Li
Summary: This study focuses on the largest lake-terminating glacier in High Mountain Asia (HMA), and evaluates the penetration depth of X-band and C-band radar. The results show that the Yanong Glacier has experienced significant mass loss in recent decades, with a doubled rate of loss since 2000. The findings provide valuable insights into the evolution of lake-terminating glaciers in HMA and other high mountain areas.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Jihong Liu, Jun Hu, Zhiwei Li, Zhangfeng Ma, Jianwen Shi, Wenbin Xu, Qian Sun
Summary: This study used SAR data to investigate the surface displacement and strain characteristics of the 2022 Menyuan earthquake, revealing that it was dominated by left-lateral slip and had larger fault-parallel displacement on the southern side. It also identified a severely deformed near-fault area and clearly expanding and compressed zones.
Article
Environmental Sciences
Yuedong Wang, Guangcai Feng, Zhiwei Li, Shuran Luo, Haiyan Wang, Zhiqiang Xiong, Jianjun Zhu, Jun Hu
Summary: In recent years, the availability of SAR satellite data and the development of InSAR technology have made wide-scale ground-deformation monitoring possible. This study proposes a strategy called WAVS-InSAR, which combines stacking technology and advanced TS-InSAR technology to achieve fast calculation of ground-deformation rate and obtain fine deformation time series. The strategy uses an adaptive recognition algorithm to identify the spatial distribution and area of deformation regions in the wide study area and generates variable-scale deformation products.
Article
Environmental Sciences
Nan Li, Juan M. Lopez-Sanchez, Haiqiang Fu, Jianjun Zhu, Wentao Han, Qinghua Xie, Jun Hu, Yanzhou Xie
Summary: The logistic growth equation was introduced into the PolInSAR method for the first time to estimate crop height, and an improved inversion scheme was proposed. The results showed that the improved method can effectively monitor the height variation of crops throughout the whole growth cycle.
Article
Geochemistry & Geophysics
Ruiqing Song, Jicang Wu, Xinyou Song, Tao Li, Lei Zhang
Summary: With the use of new-generation synthetic aperture radar (SAR) satellites with well-controlled orbits and a more accurate timing system, the ability for high-precision geolocation has been confirmed using radar reflectors. This study implemented SAR absolute and differential geolocation methods to determine the coordinates of corner reflectors (CRs) and multidirectional dihedral reflectors (MDRs). Experimental results showed that decimeter- or even centimeter-level positioning accuracy can be achieved using SAR stereo geolocation based on multiaspect SAR acquisitions from RadarSAT-2 (RS-2), COSMO-SkyMed (CSK), Sentinel-1 (S1), and TerraSAR-X (TSX).
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Geochemistry & Geophysics
Jihong Liu, Jun Hu, Zhiwei Li, Lei Zhang, Qian Sun, Jianjun Zhu, Lixin Wu
Summary: This paper proposes a method called SeaInSAR to dynamically estimate surface deformations using wrapped interferometric phase. The method accelerates the estimation process and significantly improves computation efficiency without compromising accuracy. Experiments with simulated and real data show that the SeaInSAR method is more than 20 times faster than the classical static method.
JOURNAL OF GEODESY
(2023)
Article
Environmental Sciences
Yan Zhu, Bing Xu, Zhiwei Li, Jie Li, Jingxin Hou, Wenxiang Mao
Summary: Atmospheric delay is a major error in ground-based synthetic aperture radar (GBSAR). Existing compensation methods for this error include external meteorological data correction, polynomial fitting, and persistent scatterers SAR interferometry (PSInSAR) calibration. The most popular method for GBSAR atmospheric delay compensation combines polynomial fitting and persistent scatterers targets. However, this method ignores the displacement component of coherent targets, which is impractical. This paper proposes a joint estimation method for ground displacement and atmospheric model parameters.
Article
Environmental Sciences
Meiyu Liu, Bing Xu, Zhiwei Li, Wenxiang Mao, Yan Zhu, Jingxin Hou, Weizheng Liu
Summary: Yunnan Province in China, with its complex topography and frequent landslide disasters, was evaluated using a random forest model based on the average annual deformation rate and other factors. The model achieved an accuracy of 0.80 and an AUC value of 0.87, indicating its reliability and suitability for landslide susceptibility assessment in Yunnan Province.
Article
Environmental Sciences
Caihong He, Qian Sun, Jun Hu, Rong Gui
Summary: Strong earthquakes can trigger many landslides and change the stability of slopes, leading to long-term slope activity. Studying the variation of slow-moving slopes before and after earthquakes is crucial for understanding the mechanism of earthquake-affected landslides and assessing long-term landslide risk in seismically active areas.
Article
Environmental Sciences
Jun Hu, Yana Yu, Rong Gui, Wanji Zheng, Aoqing Guo
Summary: In this study, landslide deformations and land-use changes were analyzed in Fengjie County and Wushan County in the Three Gorges Reservoir Area using interferometric and polarimetric SAR. The study found that the distribution of landslides was significantly correlated with land-use types, especially human-associated cultivated vegetation which were more likely to cause landslide deformations.
Article
Geochemistry & Geophysics
Wanji Zheng, Jun Hu, Zhong Lu, Xie Hu, Qian Sun, Jihong Liu, Jianjun Zhu, Zhiwei Li
Summary: Complete and accurate estimation of three-dimensional (3-D) deformations for landslides is challenging, especially for slopes facing north or south. In this study, a topography-constrained strain model is proposed to derive complete 3-D movements by exploiting the spatial relationship of 3-D deformations between neighboring points and assuming surface parallel flow of landslides. The method is tested on both synthetic and real datasets, and the performance of various datasets and the potential of NISAR in deriving time series and 3-D movements are assessed.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Environmental Sciences
Xing Zhang, Zhengfeng Cheng, Bei Xu, Rong Gui, Jun Hu, Changjiang Yang, Qiuhong Yang, Tao Xiong
Summary: The Xi'an region in China has long been facing issues of groundwater depletion, ground fissure hazards, and surface subsidence. This study utilized multi-orbit and multi-temporal InSAR technology to measure displacements and deformation in Xi'an City. The results revealed the control of groundwater flow direction by ground fissures and the correlation between surface deformation and groundwater level. By quantifying the relationship between land subsidence, ground fissures, and groundwater level, this study provides reference for groundwater monitoring and management.
Editorial Material
Engineering, Electrical & Electronic
Hyung-Sup Jung, Sang-Hoon Hong, Lei Zhang
JOURNAL OF SENSORS
(2023)
Article
Geochemistry & Geophysics
Hongyu Liang, Lei Zhang, Xin Li
Summary: Phase unwrapping (PhU) is a crucial step in multitemporal interferometric synthetic aperture radar (MTInSAR) processing, and improving the quality of inputs is essential for reliable unwrapping. In this study, we propose a method to enhance the PhU accuracy by improving the quality of differential phase observations. We use a quadtree-based coherence estimation method to efficiently select an optimal interferogram stack and develop a strategy that constructs redundant networks to connect synthetic aperture radar (SAR) images and points.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
