Results 1 to 10 of about 1,910,082 (149)

Incoherent Interference Detection and Mitigation for Millimeter-Wave FMCW Radars

Remote Sensing, 2022
Current automotive radar technology is almost exclusively implemented using frequency modulated continuous wave (FMCW) radar in the millimeter wave bands.
Zhihuo Xu, Shuaikang Xue, Yuexia Wang
doaj   +1 more source

InSAR Modeling and Deformation Prediction for Salt Solution Mining Using a Novel CT-PIM Function

Remote Sensing, 2022
Deformation prediction for a salt solution mining area is essential to mining environmental protection. The combination of Synthetic Aperture Radar Interferometry (InSAR) technique with Probability Integral Method (PIM) has proven to be powerful in ...
Xuemin Xing, Tengfei Zhang, Lifu Chen, Zefa Yang, Xiangbin Liu, Wei Peng, Zhihui Yuan   +6 more
doaj   +1 more source

Hailstorms and rainstorms versus supercells—a regional analysis of convective storm types in the Alpine region

npj Climate and Atmospheric Science, 2023
The behaviour of severe thunderstorms, particularly supercells, in complex terrain is still poorly understood. Utilising 6 years of radar-, lightning- and radiosounding-based thunderstorm data in the domain of the Swiss radar network, we study different ...
Monika Feldmann, Alessandro Hering, Marco Gabella, Alexis Berne   +3 more
doaj   +1 more source

Surface Deformation Retrieving Over Soft Clay Based on an Improved Time Series InSAR Model: A Case Study of Dongting Lake Area, China

IEEE Access, 2020
The infrastructures built on soft clay in the Dongting Lake area are more prone to settlement and instability due to its significant rheological properties.
Yikai Zhu, Xuemin Xing, Zhihui Yuan, Liang Bao, Lingjie Zhu, Lifu Chen   +5 more
doaj   +1 more source

Coseismic Kinematics of the 2023 Kahramanmaras, Turkey Earthquake Sequence From InSAR and Optical Data

Geophysical Research Letters, 2023
We derive the ALOS‐2 coseismic interferograms, pixel‐offsets and Sentinel‐2 sub‐pixel offsets of the 2023 Mw7.8 and Mw7.7 Kahramanmaras, Turkey earthquake sequence.
Lijia He, Guangcai Feng, Wenbin Xu, Yuedong Wang, Zhiqiang Xiong, Hua Gao, Xiaoge Liu   +6 more
doaj   +1 more source

Slow Deformation Time-Series Monitoring for Urban Areas Based on the AWHPSPO Algorithm and TELM: A Case Study of Changsha, China

Remote Sensing, 2023
Health monitoring is important for densely distributed urban infrastructures, particularly in cities undergoing rapid economic progress. Permanent scatterer interferometry (PSI) is an advanced remote sensing observation technique that is commonly used in
Xuemin Xing, Jihang Zhang, Jun Zhu, Rui Zhang, Bin Liu   +4 more
doaj   +1 more source

Dynamic detection of offshore wind turbines by spatial machine learning from spaceborne synthetic aperture radar imagery

Journal of King Saud University: Computer and Information Sciences, 2022
In order to change the energy supply structure of traditional thermal power generation with excessive carbon emissions, more and more offshore wind turbines are being installed and put into operation worldwide. However, the dynamic monitoring of offshore
Zhihuo Xu, Hongchen Zhang, Yuexia Wang, Xiaoyue Wang, Shuaikang Xue, Weixue Liu   +5 more
doaj   +1 more source

Spaceborne SAR Non-Along-Track Imaging Mode: Opportunities and Challenges

Leida xuebao, 2022
Spaceborne Synthetic Aperture Radar (SAR) can achieve various performance combinations of resolution and observation bandwidth by adjusting the working modes.
Yan WANG, Lihong KANG, Jie LIU, Hui KUANG, Hanwei SUN, Ke CHEN, Xuan WANG, Haifeng YU, Xilong SUN, Pengnan ZHENG, Shuhao LIU, Tianzhu YI, Lei LIU, Heli GAO, Bing SUN, Running ZHANG, Zegang DING   +16 more
doaj   +1 more source

Unraveling hydrometeor mixtures in polarimetric radar measurements [PDF]

Atmospheric Measurement Techniques, 2018
Radar-based hydrometeor classification typically comes down to determining the dominant type of hydrometeor populating a given radar sampling volume. In this paper we address the subsequent problem of inferring the secondary hydrometeor types present ...
N. Besic, N. Besic, J. Gehring, C. Praz, J. Figueras i Ventura, J. Grazioli, M. Gabella, U. Germann, A. Berne   +8 more
doaj   +1 more source

Monitoring of PM_2.5 Concentrations by Learning from Multi-Weather Sensors

Sensors, 2020
This paper aims to monitor the ambient level of particulate matter less than 2.5 μm (PM2.5) by learning from multi-weather sensors. Over the past decade, China has established a high-density network of automatic weather stations.
Yuexia Wang, Zhihuo Xu
doaj   +1 more source