Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data by Marin Kačan, Filip Turčinović, Dario Bojanjac, Marko Bosiljevac

“…Similar to optical images, radar images generated by applying a reconstruction algorithm on raw GBSAR data can also be used in object classification. …”
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A Wideband High Gain Differential Patch Antenna Featuring In-Phase Radiating Apertures by Honglin Zhang, Jianhao Ye

“…Communication systems need antennas with wide bandwidths to provide large throughput, while imaging radars benefit from high gain for increased range and wide bandwidths for high-resolution imaging. …”
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Space-Based Sensor Tasking Using Deep Reinforcement Learning by Siew, Peng M., Jang, Daniel, Roberts, Thomas G., Linares, Richard

“…Although some space sensors are capable of monitoring large swaths of the sky with wide fields of view (FOVs), others—such as maneuverable optical telescopes, narrow-band imaging radars, or satellite laser-ranging systems—are restricted to relatively narrow FOVs and must slew at a finite rate from object to object during observation. …”
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Study of photodetector for the application of autonomous vehicles by Sun, Yue

“…With the advancement of system integration technology, the entire LiDAR system can be designed to be smaller, so terahertz LiDAR can be used for high-resolution imaging radars for autonomous vehicles. The three mainstream sensors to realize unmanned driving of automobiles are optical cameras, LiDARs and millimeter wave radars. …”
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Investigation of effective factors in the phenomenon of land subsidence in the western area of Tehran province by seyedhamidreza hosseini, Seyed Habib Musavi-jahromi, hossein mohamad vali samani

“…Methods: In this research, by coupling Darcy's law and changing the soil skeleton by COMSOL software, it was tried to calculate the subsidence in 22 selected points of the study area during the years 2003-2019 and after verifying and obtaining a high agreement with real data and images. Radar interferometry estimated the amount of subsidence until 2031. …”
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Analysis of forecast error for a short-term extreme precipitation event in the Shaying River Basin by Yanping HU, Tieliang SHAN, Jiajia GU

“…Using routine meteorological observations, intensive observations from the automatic weather stations, satellite images, radar products, NCEP reanalysis data, fine grid model data and regional mesoscale model data, we have conducted an examination on the reasons for the miss of forecast and the predictability of a short-term extreme precipitation event occurred in the Shaying River Basin at the night on 18 August 2017. …”
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Estimation of fuel load using remote sensing data in Hulunbuir Grassland by Wurigula Bao, Fangbing Yu, Yu Chang, Meng Guo, Fenfen Zhou, Chao Zhong

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Analysis of environmental condition and mesoscale characteristics for a heavy rainstorm event in Spring in northeast Henan by Chunling WANG, Yiping ZHANG, Li CUI, Ying TANG, Cong WANG, Xiaoyan LIU

“…Using conventional observations, satellite images, radar data, precipitation data from regional automatic weather stations and the NCEP/NCAR reanalysis with 1°×1° resolution, we have conducted analysis on the precipitation characteristics, environmental conditions and mesoscale features of a rare heavy rainstorm event in northeast Henan on 15 May 2018. …”
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Model-based requirement definition for instrument systems by Smith, Matthew William, Ph. D. Massachusetts Institute of Technology

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Learning-based geometry-aware ego-motion estimation by Almalioglu, Y

“…In recent years, mmWave imaging radars have emerged, enabling the measured point clouds to be at a comparable resolution and density as a low-grade lidar. …”