A5052335163- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Marine and coastal ecosystems
- Environmental Changes in China
- Hydrology and Watershed Management Studies
- Geophysical Methods and Applications
- Remote Sensing and Land Use
- Radar Systems and Signal Processing
- Face and Expression Recognition
- Anomaly Detection Techniques and Applications
- Structural Engineering and Vibration Analysis
- Automotive and Human Injury Biomechanics
- Water Quality Monitoring Technologies
- Advanced Neural Network Applications
- Environmental and Agricultural Sciences
- Ginseng Biological Effects and Applications
- Groundwater and Watershed Analysis
- Vibration Control and Rheological Fluids
- Mechanical Engineering and Vibrations Research
- Flood Risk Assessment and Management
- Underwater Acoustics Research
- Metabolomics and Mass Spectrometry Studies
- Educational Technology and Assessment
- Aquatic Ecosystems and Phytoplankton Dynamics
- Infrared Target Detection Methodologies
Nanjing University of Aeronautics and Astronautics
2023-2024
Daqing City People's Hospital
2022
Harbin Medical University
2022
Hohai University
2018-2021
Ground armored weapons have a high detection value in military operations. Satellite synthetic aperture radar (SAR) cannot accurately detect targets with meter-level sizes limited by resolution of sensors. Airborne SAR strict experimental conditions and be applied actual battlefield environments. MiniSAR sensors, which combine the advantages submeter-level ultrahigh resolutions flexible flight, play crucial role recognizing targets. In this paper, various small real complex ground scenarios...
Barrage jamming technique with controllable coverage against synthetic aperture radar (SAR) systems is of great importance in electronic countermeasures. However, it still a difficulty for the jammer to accurately impose two-dimensional (2-D) local on regions interest (ROIs). In this respect, new parameterized and large-dynamic-range precise (PLDR-PC) method has been proposed paper assist solving such problems. Based SAR imaging properties linear frequency modulation (LFM) case, range...
For vehicle rollover control systems, an accurate and predictive index is necessary for a precise threat detection prevention. In this paper, the contour line of load transfer ratio (CL-LTR) CL-LTR-based (CLRI) are proposed, describing LTR threshold change rate precisely, providing prediction threat. detail, CL-LTR proposed via roll dynamics phase plane analysis, its analytical solution one-degree-of-freedom model extension full derived. Moreover, CLRI evaluated study. The results...
There are a large number of lakes with beaded distribution in the semi-arid areas Inner Mongolian Plateau, and some them have degraded or even disappeared during past three decades. We studied reasons disappearance these by determining way replenishment impact natural-social environment basin, aim saving gradually disappearing lakes. Based on remote sensing image hydrological analysis, this paper recharge Daihai Lake Huangqihai Lake. The deep learning method was used to establish time-series...
With the rapid development of deep learning, convolutional neural networks have achieved milestones in synthetic aperture radar (SAR) image object detection. However, detection SAR images is still a great challenge due to difficulty distinguishing targets from complex backgrounds. At same time, most are small and unevenly distributed, which makes it challenging extract sufficient feature information. To solve these issues mentioned above, an efficient network for based on Swin transformer...
Scissor seat suspension has been applied widely to attenuate the cab vibrations of commercial vehicles, while its design generally needs a trade-off between acceleration and travel, which creates typical optimisation issue. A complexity for this issue is that optimal dynamics parameters are not easy approach solutions fast unequivocally. Hence, hierarchical on scissor characteristic structure proposed, providing top-down methodology with globally convergent compromise these contradictions....
By means of alteration the transmitted linear frequency modulation (LFM) signal waveform parameters, such as pulse width or chirp rate, initial phase, repetition interval (PRI), and rate polarity at every position synthetic apertures, pseudo-random agility technology interpulse parameters in airborne Synthetic Aperture Radar (SAR) actively increases complexity uncertainty radar waveforms. This confuses jamming interception receivers, thus improving its anti-interference ability for active...
In recent years, along with the rapid development of economy and intensification human activities, eutrophication inland lakes has become increasingly serious, leading to frequent occurrence cyanobacteria. Cyanobacteria monitoring an important part water quality control. Compared traditional artificial methods, remote sensing technology more means obtain information, which is faster shorter in cycle time, conducive monitor large-scale waters rapidly. this study, Landsat-8 image Taihu Lake...
Luoma lake is the fourth largest on Jiangsu Provice as well hub of South-to-North Water Diversion Project. With a widen sight, magnificent. Lakes are carrier regional water cycle and play role ecosystem. Human activities natural factors greatly affect expansion contraction waters. Monitoring area can provide scientific basis for local development. Compared with traditional optical remote sensing monitoring water, all day, all-weather high-resolution SAR images playing great role. image...
The thawing time and lake ice completely covered can directly reflect the climate change in region, duration of also local change. traditional field monitoring requires a lot manpower material resources, timeliness is poor, so it not suitable for long-term condition monitoring. Since 1960s, remote sensing image has been used because its wide range, fast speed, low cost on. More more widely all kinds research, use Based on Landsat series data, Neural Network Algorithm was to study Namco...