A5035921680- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing and LiDAR Applications
- Advanced Measurement and Detection Methods
- Advanced Optical Sensing Technologies
- Optical Systems and Laser Technology
- Ocean Waves and Remote Sensing
- 3D Surveying and Cultural Heritage
- Infrared Target Detection Methodologies
- Underwater Acoustics Research
- Atmospheric and Environmental Gas Dynamics
- Target Tracking and Data Fusion in Sensor Networks
- Industrial Vision Systems and Defect Detection
- Oceanographic and Atmospheric Processes
- Solid State Laser Technologies
- Radio Wave Propagation Studies
- Optical measurement and interference techniques
- Ocular and Laser Science Research
- Direction-of-Arrival Estimation Techniques
- Microwave Imaging and Scattering Analysis
- Advanced Machining and Optimization Techniques
- Advanced machining processes and optimization
- Remote Sensing in Agriculture
- Complex Network Analysis Techniques
Shanghai Institute of Optics and Fine Mechanics
2013-2025
University of Science and Technology Beijing
2025
Technology and Engineering Center for Space Utilization
2025
Chinese Academy of Sciences
2012-2025
University of Chinese Academy of Sciences
2012-2025
First Affiliated Hospital of GuangXi Medical University
2025
Guangxi Medical University
2025
Northeast Forestry University
2025
Nanjing University of Aeronautics and Astronautics
2015-2024
Qingdao National Laboratory for Marine Science and Technology
2022-2023
A comprehensive and well-structured review on the application of deep learning (DL) based algorithms, such as convolutional neural networks (CNN) long-short term memory (LSTM), in radar signal processing is given. The following DL areas are covered: i) waveform antenna array design; ii) passive or low probability interception (LPI) recognition; iii) automatic target recognition (ATR) high range resolution profiles (HRRPs), Doppler signatures, synthetic aperture (SAR) images; iv)...
Tool condition monitoring (TCM) is vital to maintain the quality of workpieces during machining. Recently, data-driven methods based on multisensory data have been applied TCM. The extracted features a key realizing successful However, in previous study are focused multicollinearity data, which incapable identifying informative and discriminative information long time period aspect. This article proposed novel method for TCM using deep spatial-temporal feature extraction lightweight fusion...
This letter presents a novel approach for extracting moving targets in multichannel wide-area surveillance radar system. In the algorithm, after proper preprocessing and matrix combination, combined of echoes can be regarded as superposition three matrices, namely, low-rank ground clutter, sparse targets, an entry-wise noise component. Then, recently proposed relaxed version principal component pursuit is used to realize clutter (low-rank matrix) target (sparse separation under influence...
In recent years, airborne lidar has been used in a wide range of oceanic applications, including detection bathymetry, bubbles, internal waves, and schools fish. However, it not yet extensively applied Chinese seas. For example, there have no studies to detect subsurface plankton layers the South China Sea (SCS) by lidar. this study, we investigated technology's applicability for identifying Sanya Bay, SCS. Three flight experiments were carried out March 2018 September 2017. Shipboard...
Detecting the vertical profile of optical properties is an important task in remote sensing upper ocean, especially for 3-D reconstruction. Ocean color can only provide surface information, while light detection and ranging (lidar) technique depth-resolved data. Lidar global-scale observations ocean days nights with minimal atmospheric correction errors. Unfortunately, due to strong multiple scattering effects that occur when propagates seawater, simple lidar equation may cause some...
The echo separation issue associated with different transmit antennas is the most technical challenge in realizing Multiple-Input Multiple-Output (MIMO) Synthetic Aperture Radar (SAR) system. In this paper, a reconfigurable MIMO-SAR transmission scheme based on inter-pulse and intra-pulse joint phase modulation proposed. proposed has many advantages. First, lots of monostatic waveforms can be directly employed system, which offers flexibility waveform selection. Second, according to...
Ocean water column information profiles are essential for ocean research. Currently, typically obtained by lidar instruments, including spaceborne, airborne and shipborne lidar, most of which equipped with a 532 nm laser; however, blue wavelength penetrates more open detection. In this paper, we present novel dual-wavelength (DWOL), 486 laser that can operate simultaneously. This instrument was designed to compare the performance lasers in single detection area provide reference future...
Airborne LiDAR bathymetry (ALB) is an active remote sensing technology for deriving underwater topography by detecting surface and bottom signals with a scanning green channel (532 nm) laser. However, due to the limitations of laser pulse duration receiver bandwidth, signal contributions are typically mixed in waveform very shallow water (<2 m depth). To address this issue, paper proposes ALB decomposition method based on resolution enhancement model fractional differentiation mathematical...
In order to more efficiently mine the features of polarimetric synthetic aperture radar (PolSAR) and establish a appropriate classification model, this article proposes an improved convolutional autoencoder (ICAE) based on texture feature fusion (TFF-ICAE) for PolSAR terrain classification. First, TFF-ICAE specifically designs multi-indicator squeeze-and-excitation (MI-SE) block incorporates it into CAE network. MI-SE can enhance essential information while suppressing interference as much...
For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks (ACDCA-ResNeXt) is proposed to recognize twelve kinds LPI signals automatically. First, we apply Choi-Williams distribution (CWD), which shows superior performance SNRs, transforming into images (TFI). Then, in order obtain the high-quality...
The Doppler shift effect results in some targets shadows theirs actual position, and a strong correlation exists between adjacent frames of Video Synthetic Aperture Radar (VideoSAR) imagery. Based on the above rationale, novel approach to moving shadow detection for high-frame-rate VideoSAR imagery sequence is presented. First, fast preprocessing stage essential real applications, where SIFT with RANSAC registration algorithm employed compensate changing background, CattePM model used...
The traditional method of constant false-alarm rate detection is based on the assumption an echo statistical model. target recognition accuracy and high under background sea clutter other interferences are very low. Therefore, computer vision technology widely discussed to improve performance. However, majority studies have focused synthetic aperture radar because its resolution. For defense radar, performance not satisfactory low To this end, we herein propose a novel for coastal faster...
The problem of echo separation using digital beamforming (DBF) on receive for multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is notable importance to allow practical systems. Regrettably, current DBF-MIMO-SAR schemes, such as the short-term shift-orthogonal (STSO) scheme, are computationally cumbersome, increasing required hardware complexity. To alleviate this problem, we here propose an improved solution realizing a low-cost MIMO-SAR system. We detail generic waveform...
Abstract Interface engineering has proven to be an effective approach for passivating interfacial imperfections mitigate non‐radiative recombination, but the subpar interface quality between perovskite and charge transport layer hindered advancements in extraction transport. Herein, localized tunneling passivated contacts are presented using self‐assembled one‐dimensional (1D) perovskitoid through situ reaction between1‐ethyl‐2‐methylpyridinium iodide ([EtMePy]I) PbI 2 . The formation of a...
To explore the impact of ultrasound-guided proximal adductor canal and pes anserinus tendon block on early recovery after anterior cruciate ligament reconstruction surgery via daytime knee arthroscopy. A total 127 patients, aged 18–60 years, with ASA class I-II, undergoing arthroscopy under general anesthesia laryngeal mask airway intubation, were selected. These patients randomly divided into three groups: Group C (43 cases), N1 (41 N2 cases). Control group C: received 0.5% ropivacaine (15...
Abstract Raycasting is a widely used object selection technique in virtual reality. However, dense scenes, it becomes difficult for users to accurately select targets when objects are partially or fully occluded. While recent studies have introduced progressive refinement techniques based on raycasting address these limitations, they still suffer from challenges such as high interaction complexity and difficulties preserving the relative spatial relationships between within scene. In this...