Investigating the Land Subsidence Rate in Tous, Mashhad Plain, Using the DInSAR Technique by roghayeh delaram, samad fotohi, mohsen hamidianpoor, morteza salari

“…Among the various methods used to study the land subsidence pattern, the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique has provided more accurate results. …”
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Monitoring Surface Deformation Before the M7.0 Kumamoto and M6.6 Chitose Earthquakes for Precursor by Zulhamidi Nur Fatin Irdina, Abdullah Mardina, Nurul Shazana Abdul Hamid, Yusof Khairul Adib

“…Interferometric Synthetic Aperture Radar (InSAR) observations were used to identify surface deformation before and after seismic events. …”
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Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle by Xiangwei Xing, Kefeng Ji, Huanxin Zou, Jixiang Sun

“…As a method of representing the test sample with few training samples from an overcomplete dictionary, sparse representation classification (SRC) has attracted much attention in synthetic aperture radar (SAR) automatic target recognition (ATR) recently. …”
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Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region by Chakouri Mohcine, Jellouli Amine, Hajaj Soufiane, El Hachimi Jaouad, Ouguinaz Abdelkarim, Aangri Abdelhaq, El Harti Abderrazak

“…This study aims to detect lineaments using Synthetic Aperture Radar (SAR) data from three sensors with different bands: Alos-Palsar, Radarsat-1, and Sentinel-1. …”
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The Relationship between Land Subsidence and Water Use in Yazd-Ardakan Plain Using Sentinel-1 Images by Mohammadreza Goodarzi, Maryam Sabaghzadeh, Amirreza Rajabpour niknam

“…This study aimed to quantify and compare the extent of subsidence using four Synthetic Aperture Radar (SAR) images of the C-band from the Sentinel-1 satellite and the radar differential interferometry method from 2017 to 2021. …”
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Analysis Winds Data from ASCAT and SAR Backscatter using Statistical and Modeling Methods during Tropical Cyclone Anggrek (2024) in Indian Ocean by Amabel Amedea Santoso Annisa, Wicaksono Ashari

“…This study aims to measure the intensity of wind speed during the occurrence of Tropical Cyclone Anggrek in 2024 using microwave data from Synthetic Aperture Radar (SAR) and Advanced Scatterometer (ASCAT), both of which have different wind speeds in each measurement product. …”
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Unsupervised SAR Image Segmentation Based on a Hierarchical TMF Model in the Discrete Wavelet Domain for Sea Area Detection by Jiajing Wang, Shuhong Jiao, Lianyang Shen, Zhenyu Sun, Lin Tang

“…Unsupervised synthetic aperture radar (SAR) image segmentation is a fundamental preliminary processing step required for sea area detection in military applications. …”
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Quantification of mass wasting volume associated with the giant landslide Maleh Kabood induced by the 2017 Kermanshah earthquake from InSAR by Abolghasem Goorabi

“…The interferometric synthetic aperture radar (InSAR) is utilized to retrieve the spatial characteristics of the largest coseismic landslide Maleh-Kabood, induced by the Ms 7.3 Azgleh earthquake in Kermanshah Province, Iran. …”
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Ship Velocity Estimation in Airborne Along-Track Interferometric SAR Imagery Based on the Fractional Fourier Transform by Chao Chen, Yan Li, Kuihua Huang, Yonghong Long, Linlin Zhang, Kewei Ouyang

“…Synthetic aperture radar (SAR) was originally exploited to image stationary scenes. …”
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SVDDD: SAR Vehicle Target Detection Dataset Augmentation Based on Diffusion Model by Keao Wang, Zongxu Pan, Zixiao Wen

“…In the field of target detection using synthetic aperture radar (SAR) images, deep learning-based supervised learning methods have demonstrated outstanding performance. …”
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Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

“…A comparative validation against human expert uncertainties in terms of area and distance deviations underscores GlaViTU performance, approaching or matching expert-level delineation. Adding synthetic aperture radar data, namely, backscatter and interferometric coherence, increases the accuracy in all regions where available. …”
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Assessing the impact of drought on Zlatar Lake area changes using Random Forest with Sentinel-1 SAR and Sentinel-2 multispectral data by Nikolić Ratko R.

“…By utilizing Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 Multispectral Instrument (MSI) imagery, and classifying 17 scenes, the research employs the Random Forest classification algorithm to analyze changes in the lake's water area. …”
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Numerical simulation for large baseline interferometric imaging altimeter by Jie Liu, Bo Liu, Xiaonan An, Haifeng Kou, Bing Li

“…Radar imaging altimetry has emerged as the leading approach for global ocean observation, employing synthetic aperture radar (SAR) interferometry to enhance the spatial resolution of Sea topography. …”
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Pre-, Co-, and Post-Failure Deformation Analysis of the Catastrophic Xinjing Open-Pit Coal Mine Landslide, China, from Optical and Radar Remote Sensing Observations by Fengnian Chang, Houyu Li, Shaochun Dong, Hongwei Yin

“…Furthermore, our experiments indicated that the commonly used Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) significantly underestimated landslide deformation due to the maximum detectable deformation gradient (MDDG) limitation. …”
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Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion by Ran Xu, Yanguo Fan, Bowen Fan, Guangyue Feng, Ruotong Li

“…This study proposes a multi-source remote sensing data fusion method based on Sentinel-1 and Sentinel-2 imagery, integrating the temporal characteristics of optical and SAR (synthetic aperture radar) data for the classification mapping of salt marsh vegetation in the Yellow River Delta. …”
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Combining of the H/A/Alpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data by Qiuxia Xie, Qingyan Meng, Linlin Zhang, Chunmei Wang, Qiao Wang, Shaohua Zhao

“…Our algorithm thus improves the accuracy of SM data retrieval from synthetic-aperture radar (SAR) images.…”
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Land subsidence monitoring and analysis in Qingdao, China using time series InSAR combining PS and DS by Qiuxiang Tao, Xuepeng Li, Tengfei Gao, Yang Chen, Ruixiang Liu, Yixin Xiao

“…This study proposes an improved time series Interferometric Synthetic Aperture Radar (InSAR) method, extracting Permanent Scatterers (PS) and Distributed Scatterers (DS) based on a two-layer network. …”
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Tuning a SAM-Based Model With Multicognitive Visual Adapter to Remote Sensing Instance Segmentation by Linghao Zheng, Xinyang Pu, Su Zhang, Feng Xu

“…The comprehensive experiments are conducted on the HRSID and WHU datasets for instance segmentation tasks on synthetic aperture radar images and optical remote sensing images, respectively. …”
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Stripe segmentation of oceanic internal waves in SAR images based on SegFormer by Hong-Sheng Zhang, Ji-Yu Sun, Kai-Tuo Qi, Ying-Gang Zheng, Jiao-Jiao Lu, Yu Zhang

“…In this context, by building datasets using deep learning models, we propose a novel stripe segmentation algorithm for oceanic internal waves, leveraging synthetic aperture radar (SAR) images based on the SegFormer architecture. …”
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A 20 m spatial resolution peatland extent map of Alaska by Mark J. Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma C. Hall, Caroline Ludden, Aiden I. G. Schore, Umakant Mishra, Sarah N. Scott

“…Ground-data were used to train machine learning classifiers to detect peatlands using a fusion of Sentinel-1 (Dual-polarized Synthetic Aperture Radar), Sentinel-2 (Multi-Spectral Imager), and derivatives from the Arctic Digital Elevation Model (ArcticDEM), that were spatially constrained by a peatland suitability model. …”
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