Unsupervised Classification Method for Polarimetric Synthetic Aperture Radar Imagery Based on Yamaguchi Four-Component Decomposition Model by Sheng Sun, Renfeng Liu, Wen Wen

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Key Vital Signs Monitor Based on MIMO Radar by Michael Gottinger, Nicola Notari, Samuel Dutler, Samuel Kranz, Robin Vetsch, Tindaro Pittorino, Christoph Würsch, Guido Piai

“…State-of-the-art radar systems for the contactless monitoring of vital signs and respiratory diseases are typically based on single-channel continuous wave (CW) technology. …”
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Research on the Forward Simulation and Intelligent Detection of Defects in Highways Using Ground-Penetrating Radar by Pengxiang Li, Mingzhou Bai, Xin Li, Chenyang Liu

“…This study employed ground-penetrating radar (GPR) detection and forward simulation to analyze the characteristic patterns of common subgrade defects, such as looseness, voids, and cavities. …”
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GAN-Based Driver’s Head Motion Using Millimeter-Wave Radar Sensor by Hong Nhung Nguyen, Yong-Hwa Kim

“…A frequency-modulated continuous-wave (FMCW) radar sensor is strategically positioned on the vehicle’s steering wheel, capturing reflection patterns that vary with the driver’s head orientation. …”
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Application research of wind profile radar in short-term heavy rainfall forecast of typhoon in Fujian Province by Zeng Jinyu, Lian Chenfang, Yin Siyu, Sun Chaofeng

“…Based on wind profile radar data, this paper aims at different typhoon processes landed and affected Fujian from 2011 to 2019, according to the nature of typhoon rainstorm, it can be classified into outer precipitation before typhoon landed, main body precipitation and precipitation at the rear of typhoon, the change of the characteristic quantities in approaching time of the occurrence of short-term heavy rainfall was analyzed, and the typhoon case in 2020 was back calculated. …”
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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Conclusion The results of this study with respect to the correlation coefficient of 0.5012 with real data and high spatial resolution of the output map showed the efficiency of using different bands of radar images in estimating surface moisture. The spatial distribution of moisture with the ellipse indicated the standard deviation of the direction of northwest to southeast in accordance with the direction of roughness and spatial arrangement of the Zagros, which can explain the role of roughness in high rainfall in the west of the country. …”
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CommRad RF: A dataset of communication radio signals for detection, identification and classificationZenodo by Muhammad Usama Zahid, Muhammad Usman Akram, Muhammad Danish Nisar, Fahd Maqsood, Syed Usman Ali, Muhammad Montaha

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Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…This project aims to develop an AI classifier utilising high-resolution training data and the resilient architecture of ResNet, in conjunction with the Remote Sensing Image Classification Benchmark (RSI-CB128). ResNet, noted for its deep residual learning capabilities, significantly enhances the classifier’s proficiency in identifying intricate patterns and features from high-resolution images. …”
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Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation by N. S. Pyko, E. D. Orandarenko, M. I. Bogachev

“…This indicates the predictability of wave height extrema from sea surface measurements, which can be performed based on remote radar observations.…”
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Diagnosis of array antennas based on near-field data using Faster R-CNN by Boguang Yang, Yulun Wei, Jixiang Shi, Tao Hong, Liangyu Li, Kai-Da Xu

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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

“…The high-resolution multispectral optical data can deliver essential spatial-spectral characteristics; however, these are typically impeded by unfavorable weather and obstructions, resulting in poor classification. …”
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Multimodal prediction of trait emotional intelligence-Through affective changes measured using non-contact based physiological measures. by Vrinda Prajapati, Rajlakshmi Guha, Aurobinda Routray

“…To our knowledge, this is the first work to predict emotional intelligence level from physiological/autonomic (cardiac and respiratory) response patterns to emotions. Trait EI of 50 users was measured using Schutte Self Report Emotional Intelligence Test (SSEIT) along with their cardiovascular and respiratory data, which was recorded using FMCW radar sensor both at baseline and while viewing affective movie clips. …”
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Airborne radiometric data for digital soil mapping of peat at broad and local scales by Dave O’Leary, Colin Brown, Jim Hodgson, John Connolly, Louis Gilet, Patrick Tuohy, Owen Fenton, Eve Daly

“…For the present study in Ireland, the supervised classification of gridded airborne radiometric data, acquired over multiple years, is performed using neural network pattern recognition to identify areas of peat and non-peat soils. …”
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A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…The results show that the classification accuracy of the 5 types of space targets can reach more than 99%, and the recognition accuracy is no longer affected by the trace feature and LBP feature selection, which has strong robustness. …”
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