A5101963915- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
- 3D Surveying and Cultural Heritage
- Advanced SAR Imaging Techniques
- Photonic Crystals and Applications
- Spectroscopy and Chemometric Analyses
- Sarcoma Diagnosis and Treatment
- Electromagnetic Compatibility and Noise Suppression
- Bone Tumor Diagnosis and Treatments
- Robotics and Sensor-Based Localization
- Advanced Image Fusion Techniques
- Gyrotron and Vacuum Electronics Research
- Advanced Neural Network Applications
- ECG Monitoring and Analysis
- Microwave and Dielectric Measurement Techniques
- Time Series Analysis and Forecasting
- Orthopaedic implants and arthroplasty
- Electromagnetic Compatibility and Measurements
- EEG and Brain-Computer Interfaces
- Geochemistry and Geologic Mapping
- Microwave Engineering and Waveguides
- Phonocardiography and Auscultation Techniques
- Remote Sensing in Agriculture
Fudan University
2022-2023
Hebei University of Science and Technology
2023
State Key Laboratory of Transducer Technology
2020
Chinese Academy of Sciences
2020
Aerospace Information Research Institute
2020
Gannan Medical University
2014
Change detection has played an increasingly important role in multitemporal remote sensing applications recently. Long time series analysis is providing new information of land cover changes and improving the quality accuracy change being derived from sensing. The purpose this study to dig for more temporal pattern synthetic aperture radar (SAR) image (ITS), which great significance monitoring urban area changes, conducting use surveys, renovating illegal constructions. In study, a novel...
Change detection in multitemporal synthetic aperture radar (SAR) images has been an important research content the field of remote sensing for a long time. In this article, based on slow feature analysis (SFA) theory and nonsubsampled contourlet transform (NSCT) algorithm, we propose novel unsupervised change method called NSCT nonlocal means (NSCT-NLM). The powerful extraction to changed information SFA superior fusion are jointly adopted method. main framework consists following parts....
Myxofibrosarcoma is a myxoid variant of malignant fibrous histiocytoma that most commonly involves the extremities elderly people. However, primary myxofibrosarcoma with bone invasion in young adults extremely rare. Herein, we report case 31-year-old male gradually enlarging left thigh mass, who had history femur fracture and received an open reduction internal fixation titanium alloy plates screws 33 months previously. Imaging investigations revealed irregularly shaped soft tissue mass...
The rapid development of neural networks has come at the cost increased computational complexity. Neural are both computationally intensive and memory intensive; as such, minimal energy computing power satellites pose a challenge for automatic target recognition (ATR). Knowledge distillation (KD) can distill knowledge from cumbersome teacher network to lightweight student network, transferring essential information learned by network. Thus, concept KD be used improve accuracy networks. Even...
Superpixel analysis is showing great potential for high-resolution synthetic aperture radar (SAR) image change detection, as it uses a larger detection granularity and enhances computational efficiency. However, some deficiencies still exist. It difficult previous methods to extract the complete regions from cluttered backgrounds. Meanwhile, local spatial correlation structure consistency are not well represented. To address above problems achieve better separation of changed unchanged...
The development progress of an X-band continuous wave klystron and a Ka-band extended interaction is introduced in this paper. achieves 150kW output power 100MHz bandwidth. with depressed collector 1kW 35.2% efficiency.
Electrocardiogram (ECG) is a widely medical tool used in the clinical diagnosis of arrhythmia, numerous algorithms based on deep learning have been proposed to achieve automatic arrhythmia detection.In PhysioNet/Computing Cardiology Challenge 2020, inspired by residual and attention mechanism, we novel neural network accomplish this classification task.The backbone carefully designed 2-D convolutional (CNN) with connection it can adapt multi-lead ECG signals as input.The first 10 seconds...
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