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Semantics-Assisted Multiview Fusion for SAR Automatic Target Recognition IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-12 Tong Zhang, Xiaobao Tong, Yong Wang
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IRGraphSeg: Infrared Small Target Detection Based on Hierarchical GNN IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-12 Guimin Jia, Yu Cheng, Tao Chen
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ISTAP-based Multichannel Radar DOA Estimation under Rapid Airspace Rotation IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-08 Lichao Zhou, Yifeng Wu, Lei Zhang, Dong Xia
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Multiscale Residual Convolution Neural Network for Seismic Data Denoising IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Zhimin Gao, Honglong Chen, Zhe Li, Bolun Ma
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A Self-adaptive Algorithm of Inverse Wavefield Transform for the Vertically Magnetic Components of the Loop-source Transient Electromagnetic Data IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Kerui Fan, Jianlei Guo, Gang Wang, Lei Xu, Kailiang Lu, Shangqu Sun, Peng He, Zhiqiang Li, Neng Wang
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Inversion and Evaluation of Oil Thickness Based on a C-Band Microwave Experiment IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Guo Jie, Ma Jing
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Radar Differential Phase upon Transmission Impacts Products from Atmospheric Insects IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Valery M. Melnikov, Eli S. Bridge
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Hyperspectral Image Classification based on Atrous Convolution Channel Attention Aided Dense Convolutional Neural Network IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Han Zhai, Yuhong Liu
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A Short-Term Forecasting Method for Ionospheric TEC Combining Local Attention Mechanism and LSTM Model IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Jun Tang, Lang Xu, Xuequn Wu, Ke Chen
Total electron content (TEC) is an important parameter for studying ionospheric variations and space weather. Short-term prediction of the ionosphere plays a significant role in near-Earth space environment monitoring. This study proposes a model that combines a long short-term memory (LSTM) neural network with a local attention mechanism (LAM), which weights the features using attention weights and
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Progressive Contrastive Learning Based On Noisy Negatives Cleaning for Hyperspectral Image Classification IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Lin Zhao, Yang Feng, YuanJie Dai, Jianhui Wu, Guoyun Zhang
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Text-guided Knowledge Transfer for Remote Sensing Image-Text Retrieval IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 An-An Liu, Bo Yang, Wenhui Li, Dan Song, Zhengya Sun, Tongwei Ren, Zhiqiang Wei
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LUMNet: Land Use Knowledge Guided Multiscale Network for Height Estimation from Single Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Shouhang Du, Jianghe Xing, Shaoyu Wang, Xiongwu Xiao, Jun Li, Hao Liu
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Refined Two-Stage Programming Approach to Multibaseline Phase Unwrapping via Gradient Regularization and Quality-Guided Triangulation IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Hongxiang Li, Yunkai Deng, Jili Wang, Fuhai Zhao, Yulun Wu, Mingjie Zheng
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Integrating Soil Spectral Library and PRISMA Data to Estimate Soil Organic Carbon in Crop Lands IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Bonthu Sandeep Reddy, H R Shwetha
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A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Dongyang Liu, Junping Zhang, Yunxiao Qi, Yinhu Wu, Ye Zhang
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Diversity-Infused Network for Unsupervised Few-Shot Remote Sensing Scene Classification IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-07 Liyuan Hou, Zhong Ji, Xuan Wang, Yunlong Yu, Yanwei Pang
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Moving Target Detection Using FDA-MIMO Radar With Planar Array IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-06 Linghui Miao, Shunsheng Zhang, Libing Huang, Junsong Ding, Wen-Qin Wang
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Building Model Rectification Using GNSS Reflectometry IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-05 Mingda Ye, Guohao Zhang, Li-Ta Hsu
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Generalized S-Transform Based on Sparse Representation and its Application on Attenuation Gradient Estimation IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-05 Junjie Liu, Xuehua Chen, Cuncai Qie, Chenfei Zhao, Xin Luo
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Segmentation of Communication Cabinets based on Point Cloud Coverage from LiDAR Point Cloud IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-05 Jingru Wang, Cheng Wang, Xiaohuan Xi, Meng Du, Sheng Nie
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Global-margin Uncertainty and Collaborative Sampling for Active Learning in Complex Aerial Images Object Detection IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-05 Dongjun Zhu, Chengjie Gu, Junjun Zhang, Yuyou Yao, Dayu Tan
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Prediction of GNSS-Based Regional Ionospheric TEC Using a Multichannel ConvLSTM With Attention Mechanism IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-05 Chaoqian Xu, Mingfei Ding, Jun Tang
Monitoring and predicting ionospheric space weather is important for global navigation satellite system (GNSS) navigation, positioning, and communication. Ionospheric total electron content (TEC) is a vital indicator to measure ionospheric space weather. This study utilizes a multichannel convolutional long short-term memory (ConvLSTM) with attention mechanism to predict ionospheric TEC maps considering
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On the Localization of Multisource RFI for MultiChannel SAR based on the Time-Frequency Domain Least L 1-Norm Method IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-05 Shuohan Cheng, Zongsen Lv, Huifang Zheng, Weidong Yu, Tianyu Qiu
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A GRFT-like method for highly maneuvering target detection via neural network IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-04 Jiachen Wang, Yifeng Wu, Xiaobo Deng, Lei Zhang
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Algorithm for Detecting Ice Overlaying Water Multilayer Clouds Using the Infrared Bands of FY-4A/AGRI IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-04 Kaiyang Wang, Fu Wang, Qifeng Lu, Ruixia Liu, Zhaojun Zheng, Zhiwei Wang, Chunqiang Wu, Zhuoya Ni, Xiaofang Liu
Multilayer clouds have a significant importance on cloud climate effects and remote sensing retrieval. In this study, a multilayer cloud detection algorithm is developed for the Advanced Geostationary Radiation Imager (AGRI) onboard the FY-4A geostationary satellite. The algorithm is based on the basic physical assumptions that are also employed for Moderate Resolution Imaging Spectroradiometer (MODIS)
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Deep-Learning-Based Prestack Seismic Inversion Constrained by AVO Attributes IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-04 Qiang Ge, Hong Cao, Zhifang Yang, Sanyi Yuan, Cao Song
Prestack seismic inversion is an effective approach to obtain elastic parameters for reservoir characterization in seismic exploration. However, the difficulty in achieving reliable inversion results in prestack seismic inversion remains due to the strong nonlinearity of the problem and the ambiguity of solutions. Deep learning (DL) excels at mapping complex nonlinear relationships, and thus various
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BGSINet-CD: Bitemporal Graph Semantic Interaction Network for Remote Sensing Images Change Detection IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-04 Binge Cui, Chenglong Liu, Jianzhi Yu
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Multiscale Feature Fusion and Threshold-Based Attentional YOLO for Tailings Ponds Detection of Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-04 Guizhou Zheng, Yingying Zhao, Junsheng Zhong, Zhonghang Qiu, Zhixing Chen
Tailings ponds are a significant source of environmental pollution and present potential danger, making it a top priority to obtain accurate location information. Traditional object-based remote sensing techniques suffer from low efficiency and lack of automation. Furthermore, deep learning research on tailings ponds lacks practical models and datasets. To address these gaps, this letter proposes a
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HSIR-ME-CPMG: A High-Resolved Pulse Sequence for the T₁ – T₂ Measurement of Unconventional Reservoir Rocks IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-04 Xinmin Ge, Quansheng Miao, Nan Li, Yufei He, Lei Xing, Baodi Liu, Fu Zuo
We designed an improved pulse sequence combined with the hybrid saturation recovery and inversion recovery and the multiple echo-spaced Carr–Purcell–Meiboom–Gill (CPMG) pulse sequence (HSIR-ME-CPMG) to measure the longitudinal relaxation time ( $T_{1}$ ) and the transverse relaxation time ( $T_{2}$ ) simultaneously to overcome the shortcomings of conventional IR-CPMG and SR-CPMG pulse train acquisition
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Mixing Matrix Calibration for BSS Range Ambiguity Suppression in Multichannel SAR Systems IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-01 Ershad Junus Amin, Gerhard Krieger, Marwan Younis, Federica Bordoni, Alberto Moreira
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Dense Matching Method for UAV SAR Images Without Epipolar Rectification IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-01 Yunhao Chang, Xin Xiong, Qing Xu, Guowang Jin, Guoping Zhang, Ruibing Cui
Dense matching is an important step in radargrammetry. As approximating epipolar lines in synthetic aperture radar (SAR) images is difficult, conventional dense image matching (DIM) algorithms are unsuitable for these images. This study proposes a DIM algorithm for unmanned aerial vehicle (UAV) SAR images that does not require epipolar rectification. The proposed algorithm uses tie-point matching results
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Feature Super-Resolution Fusion with Cross-Scale Distillation for Small Object Detection in Optical Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-01 Yunxiao Gao, Yongcheng Wang, Yuxi Zhang, Zheng Li, Chi Chen, Hao Feng
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Application of Adaboost-Transformer Algorithm for Lithology Identification Based on Well Logging Data IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-01 Youzhuang Sun, Shanchen Pang, Yongan Zhang
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Complex-Valued Neural Network with Multi-Step Training for Single-Snapshot DOA Estimation IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-01 Yuheng Zhang, Rong Zeng, Shuchen Zhang, Jiachen Wang, Yifeng Wu
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MCTN-Net: A Multiclass Transportation Network Extraction Method Combining Orientation and Semantic Features IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-03-01 Chenglin Shao, Huifang Li, Huanfeng Shen
Transportation network extraction based on deep learning has become a hotspot. However, the existing models all aim to distinguish between background and transportation networks, while ignoring the class attributes within the transportation networks. In this letter, we propose a multiclass transportation network extraction network (MCTN-Net) to simultaneously extract railways, roadways, trails, and
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An Information-Expanding Network for Water Body Extraction Based on U-Net IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-29 Xinyu Xu, Tao Zhang, Huazhen Liu, Weiwei Guo, Zenghui Zhang
Water body extraction is an important issue in flood surveillance and environmental protection. With the development of neural network, deep learning has been widely used in the water body extraction task because of its powerful feature extraction ability. Even so, most of existing deep learning networks only take into account the translation equivariance of convolution kernel for water body extraction
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Weak Seismic Signal Enhancement for Low Signal-to-Noise Ratio Data Using Adaptive Nonstationary Signal Decomposition IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-29 Quan Qian, Tianyue Hu, Tongsheng Zeng
Enhancing weak seismic signals in seismic data processing with a low signal-to-noise ratio (SNR) is a critical task, and it is imperative to attenuate random noise without damaging effective signals. One effective approach to achieving this is through the application of multichannel singular spectrum analysis (MSSA); however, the inherent nonstationary nature of weak signals poses a challenge for MSSA
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Synthetic Data Generation Based on Multi-stage Blending Strategy for Airport Runway Detection in Areas of Heterogeneous Land Cover from Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-29 Zhixin Duan, Shengkun Dongye, Chen Ji, Yueting Song, Jianbo Xiao, Zeming Li, Liang Cheng
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Sparse Aperture High-Resolution RID ISAR Imaging of Maneuvering Target Based on Parametric Efficient Sparse Bayesian Learning IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-29 Shichao Xiong, Kaiming Li, Haobo Wang, Siyuan Zhao, Yin Luo, Qun Zhang
Inverse synthetic aperture radar (ISAR) imaging for maneuvering targets (MTs) in sparse aperture (SA) conditions is a challenging problem. Range instantaneous Doppler (RID) is useful for ISAR imaging of MT through time-frequency analysis (TFA). However, the performance of RID deteriorates in SA, and frequency resolution is limited by the assumption of a stationary signal in the time window. To tackle
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Seismic Data Reconstruction Based on Conditional Constraint Diffusion Model IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-29 Fei Deng, Shuang Wang, Xuben Wang, Peng Fang
Reconstruction of complete seismic data is a crucial step in seismic data processing, which has seen the application of various convolutional neural networks (CNNs). These CNNs typically establish a direct mapping function between input and output data. In contrast, diffusion models, which learn the feature distribution of the data, have shown promise in enhancing the accuracy and generalization capabilities
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Pulse Interval Optimization for Doppler Ambiguity Clutter Suppression in Missile-Borne STAP Radar IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-29 Jieming Shi, Ziyang Cheng, Jun Li, Xuan He, Huiyong Li
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Measurement of Transmitted Differential Phase on Polarimetric Radars IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-28 David Schvartzman, Dusân Zrnić, Boonleng Cheong, Antonio R. Segales, Marc Schneebeli
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UAV Classification Based on Deep Learning Fusion of Multidimensional UAV Micro-Doppler Image Features IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-28 Xu Chen, Chunguang Ma, Chaofan Zhao, Yong Luo
In the realm of expanding unmanned aerial vehicle (UAV) applications and types, the precision of UAV target classification is of paramount importance. Deep learning has emerged as the linchpin of such endeavors. A new approach based on deep learning fusion technique is proposed by our team, which integrates frequency modulated continuous wave (FMCW) radar micro-Doppler signals, cadence-velocity diagram
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Airborne Radar Collaborative Range-Ambiguity Resolving based on Mono-PRF IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-28 Xipeng Wu, Jianxin Wu, Lei Zhang
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Diffusion Models Based Null-Space Learning for Remote Sensing Image Dehazing IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-27 Yufeng Huang, Zhiyu Lin, Shuai Xiong, Tongtong Sun
Remote sensing (RS) dehazing is a challenge topic, as images captured under hazy scenarios often suffer from seriously quality degradation and inconsistency. RS image restoration has been significantly improved with the use of learning-based ways, while current methods are still struggling to restore the complex details for large irregular RS images with ununiform haze. In this letter, we propose an
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Multiscale Self-Supervised SAR Image Change Detection Based on Wavelet Transform IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 He Zong, Erlei Zhang, Xinyu Li, Hongming Zhang
Change detection in synthetic aperture radar (SAR) images is a vital application in remote-sensing image processing. Existing unsupervised SAR change detection methods often rely on preclassification to generate pseudo-labels for classifying the image regions into three classes: nochanged, changed, and uncertain. However, these methods do not fully exploit the pseudo-labels by focusing only on changed
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Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Shuai Hu, Feng Gao, Xiaowei Zhou, Junyu Dong, Qian Du
Hyperspectral image (HSI) denoising is critical for the effective analysis and interpretation of hyperspectral data. However, simultaneously modeling global and local features is rarely explored to enhance HSI denoising. In this letter, we propose a hybrid convolution and attention network (HCANet), which leverages both the strengths of convolution neural networks (CNNs) and transformers. To enhance
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Multistatic UAV SAR Joint Synchronization Based on Multiple Direct Wave Pulses Exchange IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Linghao Li, Junjie Yan, Yu Sun, Zhen Wang, Han Li, Yan Wang, Zegang Ding
Multistatic unmanned aerial vehicle synthetic aperture radar (MUAV-SAR) 3-D imaging system suffers from the time and phase synchronization errors among multiple stations. The classical two-way direct wave pulse exchange synchronization method introduces the $\pi $ -ambiguity phase error and causes limited time–phase synchronization accuracy with multiple system nodes, leading to 3-D image defocusing
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A Scheme for Extracting Weak RFI Parameters Based on TJLS Matrix Decomposition IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Tianyu Qiu, Xilong Sun, Huifang Zheng, Wei Wang, Yi Zhang, Chaoyue Liu
This letter proposes a scheme for automatically and accurately extracting the parameters of weak radio frequency interference (RFI) present in the signal within the time–frequency domain. This scheme utilizes short-time Fourier transform (STFT) to transform each frame of radar echo containing interference into the time–frequency domain. In the time domain, a joint low-rank sparse robust principal component
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BI²Net: Graph-Based Boundary–Interior Interaction Network for Raft Aquaculture Area Extraction From Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Yan Lu, Yuchao Zhao, Mingkai Yang, Yanli Zhao, Ling Huang, Binge Cui
Accurate monitoring of raft aquaculture areas (RAAs) is particularly important for the protection of marine ecosystems. However, existing semantic segmentation methods are often degraded by severe shrinkage when extracting inapparent RAAs caused by natural factors such as tide-level changes and human activities including laver harvesting. In this letter, a graph-based boundary–interior interaction
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Seismic Data Denoising Based on DC-PCNN Image Fusion in NSCT Domain IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Shiyou Liu, Anju Yan, Sheng Huang
Random noise attenuation is one of the most effective ways to purify effective signals that are used for subsequent seismic imaging and inversion. In order to improve the denoising performance and protect the edge of useful signals, we propose a novel method utilizing an improved pulse-coupled neural network (PCNN) image fusion framework in nonsubsampled contourlet transform (NSCT) domain for seismic
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AccuLiteFastNet: A Remote Sensing Object Detection Model Combining High Accuracy, Lightweight Design, and Fast Inference Speed IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Ruihan Bai, Feng Shen, Mingkang Wang, Jiahui Lu, Zhiping Zhang
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Feature-based Knowledge Distillation for Infrared Small Target Detection IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Jinglei Xue, Jianan Li, Yuqi Han, Ze Wang, Chenwei Deng, Tingfa Xu
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Construction of Digital Elevation Models on the Intertidal Flats Using TanDEM-X Bistatic Observations IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Je-Yun Lee, Sang-Hoon Hong
Coastal environments, including intertidal flats, are ecologically important systems that might be threatened by rising sea levels or anthropogenic activities. Topographic information is a useful resource for managing coastal regions. This letter suggests a suitable method for constructing high-accuracy digital elevation models (DEMs) using bistatic observations during the TanDEM-X (TDX) Science phase
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Improving Satellite-Derived Bathymetry Estimation With a Joint Classification–Regression Model IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Girish Kumar Gupta, Rajshekhar V. Bhat, M. Selva Balan
Emerging deep learning methods for satellite-derived bathymetry (SDB), in which water depth is estimated using satellite band reflectance values, typically treat the problem as either classification or regression tasks, which can underperform, particularly when the depth data exhibit a skewed distribution. In this work, we propose a novel jointly trained classification–regression (JTCR) model for SDB
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A Method for Rapid Measurement of Cloud Base Height From a Pair of Sky Imagers IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Lianglin Zou, Jifeng Song, Yisen Niu, Zixuan Yan, Xilong Lin
Cloud base height, a crucial spatial parameter of cloud clusters, plays a significant role in the field of photovoltaics and other domains. In order to obtain the cloud base height information of the whole sky, the cloud base height measurement technology based on binocular vision technology has been developed. However, the current global matching method yields a single value, while the computational
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Glacial lake extraction framework based on coupling of GEE and historical glacial lake position IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Renzhe Wu, Rui Zhang, Jiaxin Cai, Kun Cai, Tingting Wu, Jichao Lv, Yueling Shi, Guoxiang Liu
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Exploring the Capability of Text-to-Image Diffusion Models With Structural Edge Guidance for Multispectral Satellite Image Inpainting IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Mikolaj Czerkawski, Christos Tachtatzis
The letter investigates the utility of text-to-image inpainting models for satellite image data. Two technical challenges of injecting structural guiding signals into the generative process as well as translating the inpainted RGB pixels to a wider set of MSI bands are addressed by introducing a novel inpainting framework based on StableDiffusion and ControlNet as well as a novel method for RGB-to-MSI
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Dual Backbone Interaction Network For Burned Area Segmentation in Optical Remote Sensing Images IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-26 Wei Fang, Yuxiang Fu, Victor S. Sheng
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A Multi-Task Fourier Transformer Network For Seismic Source Characterization Estimation From a Single-Station Waveform IEEE Geosci. Remote Sens. Lett. (IF 4.8) Pub Date : 2024-02-23 Kang Ge, Chen Wang, Yu-Tao Guo, Yan-Song Tang, Jian-Sheng Fan