Editorial by Teddy Surya Gunawan

“…Interdisciplinary efforts shine through research on 4D radar imaging and its fusion with deep learning for road-crossing classification, emphasizing the role of technology in creating safer urban environments. …”
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Rebar Recognition Using Multi-Hyperbolic Attention in Faster R-CNN by Chuan Li, Nianbiao Cai, Tong Pu, Xi Yang, Hao Liu, Lulu Wang

“…Lastly, in a random selection of 50 radar images for testing, the model achieved a rebar detection accuracy of 93.46%, representing an enhancement of 0.94% over the baseline model.…”
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A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks by Fei Gao, Teng Huang, Jinping Sun, Amir Hussain, Erfu Yang, Huiyu Zhou

“…Radar image recognition is a hotspot in the field of remote sensing. …”
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Quantifying the Location Error of Precipitation Nowcasts by Arthur Costa Tomaz de Souza, Georgy Ayzel, Maik Heistermann

“…In precipitation nowcasting, it is common to track the motion of precipitation in a sequence of weather radar images and to extrapolate this motion into the future. …”
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An Experimental Study and Concept Evaluation on Tree-Interior Imaging Radar Using Sinusoidal Template-Based Focusing Algorithm by Betül Yılmaz, Serhat Gökkan, Caner Özdemir

“…Collected backscattered measurements from the tree-body (with cavity) structure are used to generate the image of the scene by the help of our proposed algorithm. The resultant radar images of the measured data collected from the laboratory arrangement have shown the applicability of the developed algorithm for the detection of cavity structures inside tree-bodies.…”
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Tramway obstacles detection based on information fusion of MMV radar and machine vision by Guang-yao ZHAI, Rong CHEN, Jian-feng ZHANG, Ji-guang ZHANG, Cheng WU, Yi-ming WANG

“…A method of obstacle detection based on information fusion of millimeter wave radar and machine vision sensor was proposed.Firstly,the millimeter wave radar and camera calibration,image and radar realize spatiotemporal data synchronization,the target position was accurate projection detected by radar images,and then a method of generating radar target region of interest,and the image information using the frame difference method,image detection of moving objects,detection area was put forward.Finally,the radar detection area was compared with the machine vision detection area.The coincidence degree was calculated,and the target was divided into pedestrian or vehicle according to coincidence degree.The experimental results show that the method can detect the obstacle of millimeter wave radar and machine vision well,and make up for the shortage of single sensor in obstacle detection.…”
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Entropy-Based Clutter Rejection for Intrawall Diagnostics by Raffaele Solimene, Antonietta D'Alterio

“…Moreover, internal multiple reflections also can make it difficult ground penetrating radar images (radargramms) interpretation. To counteract these drawbacks, a clutter rejection method, properly tailored on the wall features, is mandatory. …”
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A Novel Rerouting Planning Model for the Terminal Arrival Routes under the Influence of Convective Weather by Ming Zhang, Xianglu Kong, Kai Liu, Xiangyu Li

“…Traditional air traffic rerouting approaches do not combine convective weather information using radar image recognition with controller workload, additional fuel consumption, delay loss, time cost, and route length at terminal airspace in tactical ATFM phase for exact rerouting decision. …”
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Functionality of the Search and Rescue Transponder (SART) in Maritime Search and Rescue Actions by Marzena Malyszko, Miroslaw Wielgosz, Brunon Rzepka

“…The experiment consisted of multiple trials to detect, locate, and track the device, as well as to assess the radar image features. Four scenarios were developed, considering different distances and radar settings. …”
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Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models by Ali Farshkaran, Andrew Fry, Alex Raterink, Adam Santorelli, Emily Porter

“…As a proof-of-concept of bladder state detection, we further investigate reconstructing differential radar images of the bladder with two different volumes of urine. …”
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Extensive off-fault damage around the 2023 Kahramanmaraş earthquake surface ruptures by Jihong Liu, Sigurjón Jónsson, Xing Li, Wenqian Yao, Yann Klinger

“…Here, we use satellite synthetic aperture radar images to quantify off-fault damage in the two 2023 Kahramanmaraş (Türkiye) magnitude 7.8 and 7.6 earthquakes. …”
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Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD by Bin Hu, Deli Wang, Ling Zhang, Zhaofa Zeng

“…To reach this goal, we adopt a data preprocessing workflow to improve the quality of the radar image, firstly. Then, a dip filter based on adaptive f-x empirical mode decomposition (EMD) is proposed to extract the rocks in the regolith and the corresponding removed IMF map indicates the degree of rock enrichment and highlights regolith-basement interface. …”
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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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Quantification of mass wasting volume associated with the giant landslide Maleh Kabood induced by the 2017 Kermanshah earthquake from InSAR by Abolghasem Goorabi

“…Radar sensors obtain regular and frequent radar images from which ground motion can be precisely detected using a variety of different techniques. …”
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Identification of subsidence areas using radar interferometry (Case study: Damaneh plain) by shokrollah kiani, ahmad mazidi, Seyed Zein Al-Abedin Hosseini

“…In this study, using two time series of radar images with artificial apertures from Sentinel sensors belonging to 2014 and 2019, the amount of subsidence in Damaneh plain (Frieden city) was calculated. …”
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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

“…In this study, we used multi-source optical and radar images alongside satellite geodetic methods to analyze the event. …”
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Three-Dimensional Deformation Prediction Based on the Improved Segmented Knothe–Dynamic Probabilistic Integral–Interferometric Synthetic Aperture Radar Model by Shuang Wang, Genyuan Liu, Zhihong Song, Keming Yang, Ming Li, Yansi Chen, Minhua Wang

“…The ALOS PALSAR satellite radar image data and ground measurements were acquired, and the ISK-DPIM-InSAR deformation monitoring model with the dynamic probabilistic integral model (DPIM) was proposed by combining the probabilistic integral method (PIM) and the improved segmented Knothe time function (ISK). …”
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Classificação da cobertura da terra na região da ilha do Bananal usando imagens multitemporais PALSAR-2/ALOS-2 by Jorge Bohrer Marques, Osmar Abilio de Carvalho Junior, Fernando Campagnoli, Humberto Navarro de Mesquita Júnior, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães

“…In the Amazon region, the constant presence of cloud cover and smoke makes the use of radar images more adequate for operating independently of these barriers. …”
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Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region by Haoliang Li, Yinghui Yang, Xiujun Dong, Qiang Xu, Pengfei Li, Jingjing Zhao, Qiang Chen, Jyr-Ching Hu

“…To accurately monitor and research these glacier hazards, Sentinel-1 Synthetic Aperture Radar images observed between 2014 and 2022 were collected to extract surface motion using SBAS-POT technology. …”
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Determining the Amount of Earthquake Displacement Using Differential Synthetic Aperture Radar Interferometry (D-InSAR) and Satellite Images of Sentinel-1 A: A Case Study of Sarpol-... by Jacob Cherian

“…To  this end, two radar images of SAR from the Sentinel-1 A satellite were prepared before and during the earthquake. …”
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