A5102972775- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Radar Systems and Signal Processing
- Microwave Imaging and Scattering Analysis
- Underwater Acoustics Research
- Advanced Neural Network Applications
- Ultrasonics and Acoustic Wave Propagation
- Robotics and Sensor-Based Localization
- Soil Moisture and Remote Sensing
- Metal Alloys Wear and Properties
- Ocean Waves and Remote Sensing
- Indoor and Outdoor Localization Technologies
- Polyoxometalates: Synthesis and Applications
- GNSS positioning and interference
- Hydraulic Fracturing and Reservoir Analysis
- Optical measurement and interference techniques
- Advanced Power Amplifier Design
- Infrared Target Detection Methodologies
- Oceanographic and Atmospheric Processes
- Transition Metal Oxide Nanomaterials
- Magnetic properties of thin films
- Optical Systems and Laser Technology
- Seismic Imaging and Inversion Techniques
- Underwater Vehicles and Communication Systems
- Vehicle Routing Optimization Methods
Chinese Academy of Sciences
2010-2025
Aerospace Information Research Institute
2020-2025
Inner Mongolia University
2025
PLA Information Engineering University
2023
University of Chinese Academy of Sciences
2022
University of Science and Technology of China
2021
Institute of Electronics
2010-2019
Yanshan University
2016
Ships are important targets for marine surveillance in both military and civilian domains. Since the rise of deep learning, ship detection synthetic aperture radar (SAR) images has achieved significant progress. However, variability size resolution, especially widespread presence numerous small-sized ships, continues to pose challenges effective SAR images. To address posed by small targets, we propose an enhanced YOLO network improve accuracy targets. Firstly, a Shuffle Re-parameterization...
Thanks to the excellent feature representation capabilities of neural networks, deep learning-based methods perform far better than traditional on target detection tasks such as ship detection. Although various network models have been proposed for SAR DRBox-v1, DRBox-v2, and MSR2N, there are still some problems mismatch scale, contradictions between different learning tasks, unbalanced distribution positive samples, which not mentioned in these studies. In this article, an improved...
Abstract Kalman or Kalman-related filtering methods are routinely applied in precise point positioning (PPP). However, robot simultaneous localization and mapping (SLAM) systems, factor graph optimization (FGO) has proven advantages over recent years, e.g. reducing the linearization error support of plug-and-play features for multiple sensor fusion. Therefore, it would be interesting to apply FGO PPP. In addition, will also facilitate tight integration PPP with Visual/LiDAR SLAM. this work,...
For positioning tasks of mobile robots in indoor environments, the emerging technique based on visual inertial odometry (VIO) is heavily influenced by light and suffers from cumulative errors, which cannot meet requirements long-term navigation positioning. In contrast, techniques that rely signal sources such as 5G geomagnetism can provide drift-free global results, but their overall accuracy low. order to obtain higher precision more reliable positioning, this paper proposes a fused...
Synthetic aperture radar (SAR) ship detection is an important part of remote sensing applications. With the development computer vision, SAR methods based on convolutional neural network (CNN) can directly perform end-to-end near-shore targets. However, CNN-based are prone to generate false targets land areas, especially when using a rotatable bounding box (RBox) for detection. Therefore, how reduce alarm rate becomes key direction in research In this letter, problem negative sample...
Aqueous zinc ion hybrid supercapacitors (ZHSCs) have attracted great attention in recent years. However, their electrochemical performance is impeded by low energy density and poor cycling stability, mainly due to the difficulty effectively activating ionic electronic conductivity of cathode material. In this work, we innovatively propose a low-cost, precisely customized strategy for doping trace amounts carbon nitrogen elements into metal oxides improve performance. The carbon-...
Ship detection in synthetic aperture radar (SAR) images holds significant importance for both military and civilian applications, including maritime traffic supervision, marine search rescue operations, emergency response initiatives. Although extensive research has been conducted this field, the interference of speckle noise SAR potential discontinuity target contours continue to pose challenges accurate multi-directional ships complex scenes. To address these issues, we propose a novel...
The random cropping data augmentation method is widely used to train convolutional neural network (CNN)-based target detectors detect targets in optical images (e.g., COCO datasets). It can expand the scale of dataset dozens times while consuming only a small amount calculations when training detector. In addition, also greatly enhance spatial robustness model, because it make same appear different positions sample image. Nowadays, and flipping have become standard configuration for those...
For inverse synthetic aperture radar (ISAR) imaging of rapidly spinning targets, the large migration through range cells (MTRC) results in weak coherence between adjacent echoes, which makes conventional envelope alignment method unable to be applied. By analyzing correlation a translational motion compensation (TMC) for targets is proposed. Firstly, rotation period target estimated by incoherent accumulation echo signal after compression. Secondly, Kalman filtering performed on shift values...
Staggered synthetic aperture radar (SAR) is an innovative concept to obtain ultrawide continuous swath with fine azimuth resolution using multiple elevation beams and pulse repetition interval (PRI) variation. Conventionally, the interpolation of nonuniform data gaps (due interruption during transmission, i.e., blockage) requires a high oversampling ratio avoid image quality degradation, which leads increased range ambiguities downlink rates. In recent years, there has been growing interest...
Spaceborne multistatic synthetic aperture radar (M-SAR) formations can deploy multiple spatially separated receiving phase centers along the along-track (AT) direction to achieve high-resolution wide-swath. However, cross-track (XT) separation between spacecraft is inevitable due formation design like orbital safety and application potential XT interferometry. In addition, different motion vectors of two or more satellites caused by Helix will lead difference Doppler parameters at same range...
This paper presents a scheduling problem of using multiple synthetic aperture radar (SAR) satellites to observe large irregular area (SMA). SMA is usually considered as kind nonlinear combinatorial optimized and its solution space strongly coupled with geometry grows exponentially the increasing magnitude SMA. It assumed that each yields profit associated acquired portion target area, objective this find optimal yielding maximal profit. The solved by means new method composed three...
By mounting the transmitter and receiver of Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system on separate platforms, bistatic FMCW SAR offers more considerable capabilities, reliability flexibility while maintaining small size, low cost agile reaction.The raw signal simulator is highly required to quantitatively support design SAR, help mission planning, test processing algorithms, analyze jamming noises.Bistatic can be exactly simulated target-by-target in...
This letter proposes a double-attentive principle component analysis (DA-PCA) model for image processing. Compared to the previous PCA-based works that cannot deal with normal images and outliers effectively, proposed DA-PCA performs mechanism sever connections hold effectiveness of images. To solve model, we propose an efficiently iterative algorithm provide strict convergence it. Moreover, in simulations, conduct reconstruction classification experiments on several real datasets...
High resolution synthetic aperture radar (SAR) imaging has extensive application value especially in military reconnaissance and disaster monitoring. The motion of the satellite during transmission reception signal introduces notable errors high SAR spotlight mode, which will lead to a defocused image if not handled. To address this problem, an accurate correct echo model based on non-start-stop is derived describe property paper. Then, processing, azimuth-time-varying range frequency...
Insipred by the cocktail party effect, an advanced scheme based on blind source separation is put forward to suppress range ambiguity of spaceborne SAR in this paper. In scheme, multiple sub-antennas are used collect echo data sets, which given different patterns. way, signal desired region and that ambiguous weighted using coefficients. During post-processing, a detailed flow with algorithm proposed separate echoes from those sets. To verify point targets simulation carried out. The results...
TwinSAR-L (Terrain Wide-swath INterferometric L-band SAR) is an innovative spaceborne bistatic SAR mission, whose primary objectives are achieving a global DTM dataset with high accuracy and observing the land deformation using differential InSAR technology within short revisit time.This paper presents general methodology for end-to-end raw data simulation interferometry systems, which requires correct terrain-mapped phase preserving, including monostatic distributed systems. This describes...
Staggered synthetic aperture radar (SAR) is an advanced concept for high-resolution wide-swath (HRWS) imaging, which overcomes the problem of blind ranges by continuously varying pulse repetition frequency (PRF). For better performance information recovery in ranges, data are typically highly oversampled azimuth staggered SAR system. Thus a huge volume onboard required and demands internal storage downlink capacity increasing. In this paper, we investigate novel method, named Dynamic...
Highly squint Synthetic Aperture Radar (SAR) is a competitive candidate for intelligence surveillance and disaster monitoring because of its capacity multi-angle information acquisition high spatial resolution. However, large Range Cell Migration (RCM) results in considerably long receive window an extremely volume invalid data, which burdens the computational load severely reduces efficiency image processing. The existing method designed to remove range walks using continuous Pulse...
For ultrahigh-resolution spaceborne spotlight synthetic aperture radar (SAR), the effective swath width is limited by severe range migration. By adapting pulse repetition interval (PRI) according to change of slant range, however, migration can be substantially reduced, which makes varying-PRI mode an attractive solution for future SAR missions. This study provides a complete preprocessing framework data, data equivalent uniform sampling obtained, so that traditional processing algorithms...
Due to the physicochemical properties of salt swelling and collapsibility, potential geological hazards threaten large-scale infrastructure residential areas in saline-soil region. Geodetic imaging dynamic monitoring spatiotemporal evolution process saline soil are vital detect a vast area. Therefore, this paper presents coupled deformation model synthesizing environmental factors trigonometric function for estimating time-series InSAR interpreting evolutionary mechanism mudflat. To...