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
Yukun Guo, Ze Yu, Jingwen Li, Chunsheng Li
Summary: This letter proposes a new imaging method to fill the spectrum gaps in the multistatic geosynchronous synthetic aperture radar (GEO SAR) system, aiming to improve the image quality. The proposed method aligns the spectrum of the scene, extrapolates the spectrum, and achieves a complete azimuth spectrum through coherent summation. Simulation results demonstrate the efficacy of the proposed method for both point and extended targets.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geography, Physical
Fengming Hu, Feng Wang, Yexian Ren, Feng Xu, Xiaolan Qiu, Chibiao Ding, Yaqiu Jin
Summary: This paper investigates the error sources of the array-InSAR interferograms and proposes a hybrid 3D phase unwrapping approach for 3D reconstruction. A hypothesis test is developed to identify the phase ambiguity and three indicators are proposed to identify reliable arcs. The L-1 norm approach is used to detect unwrapping errors and a two-tie network strategy is employed for global optimization. Experimental results demonstrate that the proposed algorithm can eliminate errors and provide a viable solution for rapid 3D SAR imaging.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Remote Sensing
Bowen Chi, Huifu Zhuang, Hongdong Fan, Yang Yu, Lei Peng
Summary: In this paper, an adaptive patch-based Goldstein filter (AP-Goldstein filter) is proposed, which adapts patch sizes based on pseudo-variation coefficient and controls noise suppression parameter alpha through pseudo-coherence. The proposed method effectively suppresses phase noise of interferograms while maintaining edge detailed information and improving filtering automation.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Yuanhao Li, Cheng Hu, Dongyang Ao
Summary: This study proposes a method based on multibaseline processing to address the challenges faced in processing geosynchronous synthetic aperture radar (GEO SAR) data for rapid surface large-change observations. By decomposing the repeat-pass interferometric data into different subapertures and revisits, postevent digital elevation models (DEMs) can be quickly generated, facilitating the rapid observation of large elevation changes.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Arturo Villarroya-Carpio, Juan M. Lopez-Sanchez, Marcus E. Engdahl
Summary: This study explores the use of Sentinel-1 interferometric coherence data as a tool for crop monitoring. By analyzing time series of Sentinel-1 and 2 images acquired during 2017, it was found that coherence can serve as a good measure for monitoring the crop growing season, showing strong correlations with the NDVI.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geochemistry & Geophysics
Fengming Hu, Feng Wang, Hanwen Yu, Feng Xu
Summary: This study proposes an asymptotic 3-D phase unwrapping algorithm for 3-D reconstruction using sparse array InSAR images. The algorithm improves the reliability of 3-D phase unwrapping and analyzes the possible baseline combinations. The experimental results demonstrate that the proposed method can achieve 3-D reconstruction using only three-pass array InSAR images and optimize baseline design.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
S. Zwieback
Summary: In this paper, the author proposes three regularization methods (Hadamard, spectral, and Hadamard-spectral regularization) to estimate magnitudes more reliably in multilooked InSAR stack. The experimental results show that these regularizers can improve the accuracy of phase history, especially in low long-term coherence scenarios.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Yuanhao Li, Yiran Zhang, Zhiyang Chen, Tingting Fu, Xingzhe Zhao, Cheng Hu, Andrea Virgilio Monti-Guarnieri
Summary: This article proposes a spatial-temporal joint particle filter-based method for DEM generation by distributed GEO SAR. The method is validated under several atmospheric conditions and obtains high-accuracy and high-resolution DEMs. It also shows good robustness in different conditions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Jun Su Kim, Konstantinos Papathanassiou
Summary: This letter presents an alternative approach for estimating the vertical wavenumber over sloped terrain using range corregistration shifts, which simplifies the calculation effort without compromising the estimation performance. The proposed approach is demonstrated on ALOS PALSAR data and compared against the conventional methodology.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
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
Geochemistry & Geophysics
Francescopaolo Sica, Sofie Bretzke, Andrea Pulella, Jose-Luis Bueso-Bello, Michele Martone, Pau Prats-Iraola, Maria-Jose Gonzalez-Bonilla, Michael Schmitt, Paola Rizzoli
Summary: Decorrelation phenomena are always present in synthetic aperture radar interferometry, and can provide valuable information about imaged targets. This letter investigates InSAR decorrelation effects at the X-band using data from the TanDEM-X and PAZ spaceborne missions, showcasing the potential of combining bistatic and repeat-pass InSAR acquisitions.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Geochemistry & Geophysics
Hanqing Zhang, Yun Lin, Fei Teng, Shanshan Feng, Wen Hong
Summary: This article introduces a novel strategy for 3D imaging using circular interferometric synthetic aperture radar (InSAR) data. The approach improves upon holographic SAR tomography techniques by eliminating the need for multibaseline data collection and residual motion error correction. The key innovation lies in using multiaspect SAR interferograms to invert the scattering power distribution of the imaged scene. Two algorithms for reconstructing 3D images are developed and verified through experiments.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Jindong Yu, Ze Yu, Chunsheng Li
Summary: In this article, a novel imaging algorithm is proposed for the geosynchronous synthetic aperture radar (GEO SAR) system to overcome the difficulty of focusing on maneuvering ships. The algorithm utilizes a spatial filter constructed by convolutional neural network (CNN) to extract time-frequency features, and combines it with local generalized Radon-Fourier transform (GRFT) and phase gradient autofocus (PGA) to improve extraction accuracy. Validation results based on simulations, airborne experiments, and wave pool experiments demonstrate the excellent imaging performance of the proposed algorithm.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Yifan Wu, Lijia Huang, Bingchen Zhang, Xiaochen Wang, Xiyu Qi
Summary: This study proposes an accurate and efficient back-projection imaging algorithm suitable for GEO SAR applications. By utilizing the precise slant range model and rapid range history construction method, the algorithm improves imaging quality, reduces processing time, and achieves high-precision rapid imaging, thereby enhancing operational efficiency.
Article
Geochemistry & Geophysics
Xichao Dong, Zewei Zhao, Yupei Wang, Tao Zeng, Jianping Wang, Yi Sui
Summary: This article proposes a new processing scheme for hand gesture recognition (HGR) based on 5-D feature cubes and introduces two novel CNN blocks. The presented method achieves high recognition rates on a large radar dataset.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Chang Cui, Xichao Dong, Zhiyang Chen, Cheng Hu, Weiming Tian
Summary: A geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO SA-BSAR) system is an important technique for long-time moving target monitoring. However, it faces challenges of severe range migration and space-variant Doppler parameters. This paper proposes a long-time coherent integration space-time adaptive processing (LTCI-STAP) method to address these challenges and effectively focus moving targets.
Article
Environmental Sciences
Rui Wang, Xiao Kou, Kai Cui, Huafeng Mao, Shuaihang Wang, Zhuoran Sun, Weidong Li, Yunlong Li, Cheng Hu
Summary: This study established an equivalent radar cross-section (RCS) model for migratory insects, observed and extracted morphological and observational parameters, and laid a data foundation for quantitative analysis of insects using weather radar.
Article
Environmental Sciences
Xichao Dong, Yi Sui, Yuanhao Li, Zhiyang Chen, Cheng Hu
Summary: This paper focuses on the radio frequency interference (RFI) between Geosynchronous synthetic aperture radars (GEO SARs) and low earth orbit synthetic aperture radar (LEO SAR) systems. An RFI-impact quantitative analysis model is established to accurately evaluate the effects of RFI on imaging. The study considers different system parameters and bistatic configurations to estimate SAR image quality and probability.
Article
Environmental Sciences
Jiaqi Hu, Xichao Dong, Weiming Tian, Cheng Hu, Kai Feng, Jun Lu
Summary: The solid-state transmitters are widely used in weather radar, and effective sidelobe suppression strategies are necessary for weather observation. Existing methods can suppress sidelobes effectively for point targets or uniformly distributed targets, but struggle with strong convection weather. In this paper, a novel method called predominant component extraction (PCE) is proposed to mitigate the effects of sidelobes by optimizing the echo of each bin after pulse compression, improving weak signal estimation and eliminating artifacts.
Article
Computer Science, Information Systems
Xichao Dong, Yun Feng, Chang Cui, Jun Lu
Summary: In this paper, a novel method based on CEEMDAN-ICA was proposed to obtain vital-sign information of adjacent human targets using a single FMCW radar. The method decomposes the observed data at a single angle using CEEMDAN algorithm to construct virtual multi-angle observations, and then reconstructs each person's vital-sign signal using BSS algorithm based on FastICA. Experimental results demonstrate that the proposed method can obtain multi-target vital-sign information even when they are in the same resolution cell.
Article
Geochemistry & Geophysics
Xichao Dong, Yi Sui, Yuanhao Li, Zhiyang Chen, Cheng Hu
Summary: This article presents a method for designing repeat ground track synthetic aperture radar constellations, and proposes an efficient and resource-friendly approach for calculating the average revisit time of constellations. The method enhances the efficiency of revisit time analysis and allows for flexible adjustment of observation requirements.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Xichao Dong, Jiaqi Hu, Cheng Hu, Zhiyang Chen, Yinghe Li
Summary: This article proposes a generalized PPP (GPPP) method for identifying non-Gaussian spectral signals (NGSS). Compared with traditional methods, the GPPP method has lower complexity and better performance under low signal-to-noise ratio conditions. Additionally, this method provides additional identification parameters to assist in selecting the appropriate spectral moment estimation algorithms for Gaussian or non-Gaussian spectral signals. The use of clustering algorithms for adaptive spectral moment estimation is also explored for the first time.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Chang Cui, Xichao Dong, Yuanhao Li, Zhiyang Chen, Xiang Li
Summary: This letter proposes a DNN-based method with similarity constraints for GEO SA-BSAR moving target imaging. Experimental results prove that it can quickly obtain images of sparse targets with small training datasets.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
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
Environmental Sciences
Weiming Tian, Linlin Fang, Weidong Li, Na Ni, Rui Wang, Cheng Hu, Hanzhe Liu, Weigang Luo
Summary: This paper proposes a deep-learning-based multiple model tracking method within the framework of the LGJMS-GMPHD filter. By solving the issues of filtering model mismatch and uncertain model switching, it effectively improves the tracking performance of targets with complex maneuvering motion.
