- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced SAR Imaging Techniques
- Soil Moisture and Remote Sensing
- Image Processing Techniques and Applications
- Microwave Imaging and Scattering Analysis
- Remote Sensing and Land Use
- Radar Systems and Signal Processing
- Landslides and related hazards
- Advanced Measurement and Detection Methods
- Spectroscopy Techniques in Biomedical and Chemical Research
- Automated Road and Building Extraction
- Sparse and Compressive Sensing Techniques
- Microstructure and mechanical properties
- Remote-Sensing Image Classification
- Aluminum Alloy Microstructure Properties
- Underwater Acoustics Research
- Aluminum Alloys Composites Properties
- Flood Risk Assessment and Management
- Impact of Light on Environment and Health
- Yersinia bacterium, plague, ectoparasites research
- earthquake and tectonic studies
- Target Tracking and Data Fusion in Sensor Networks
- Fuel Cells and Related Materials
- Context-Aware Activity Recognition Systems
- Geophysical Methods and Applications
Chinese Academy of Sciences
2012-2024
Aerospace Information Research Institute
2021-2024
China University of Geosciences (Beijing)
2023
University of Science and Technology Beijing
2020-2021
Institute of Electronics
2012-2018
Jiangsu Ocean University
2015
Zhejiang University
2009
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...
A novel autofocusing technique is developed for image from stripmap-mode synthetic aperture radar (SAR) data. The approach based on maximizing the sharpness function that induces solution to maximum-posterior estimation. In this letter, closed-form expressions are derived gradients of with respect coefficients polynomial expansion, which makes use conjugate gradient algorithm available. Additionally, we also design a modified adaptive-order searching strategy, and it helps remarkably reduce...
Due to the light weight and small size, synthetic aperture radar (SAR) sensors with light-small aircraft are very sensitive atmospheric turbulences, which cause serious trajectory deviations. Limited by cost or payloads, sometimes cannot carry high-accuracy inertial navigation systems (INS)/global positioning (GPS). For high resolution (VHR) case, residual range cell migration (RCM) often exceeds several cells during course of aperture, thus degrading image quality substantially. In this...
Interferometric inverse synthetic aperture radar (InISAR) can achieve 3-D imageries of maneuvering target. However, the quality suffers from noise and sidelobes seriously. In addition, defocusing effect due to nonlinear moving target also bring into a bad for imaging. To tackle these issues, InISAR imaging approach via compressed sensing (CS)-based super-resolution (SR) ISAR is proposed. First, we establish sparsity-constraint optimization model containing both amplitude phase information...
In order to enhance the target recognition probability in inverse synthetic aperture radar (ISAR) imaging domain, interferometric ISAR (InISAR) mode is presented achieve 3-D information of a target. However, real data results maneuvering are not enough, due difficult signal processing. this letter, combined processing approach proposed realize high-quality imagery approach, range alignment and phase adjustment implemented together on echoes avoid destroying coherence echoes. Then, InISAR can...
Several dammed lakes caused by landslides and rock avalanches appeared after Wenchuan earthquake. Tangjiashan lake was the largest one among all of them, which resulted in obvious threats to people around. In this paper, multitemporal high-resolution airborne synthetic aperture radar (SAR) images are used map waterline its change continuously, is meaningful for flooding assessment prediction. An approach combining different techniques proposed segmentation. approach, subpatched intensity...
For the challenges of high-precision mapping in complex terrain, a novel airborne Interferometric Synthetic Aperture Radar (InSAR) system is designed. This system, named ASMIS (Airborne Short-Baseline Millimeter-Wave InSAR System), adopts coplanar antenna and pod-type structure. design makes lightweight highly integrated. It can be compatible with small general aviation flight platforms. The baseline millimeters size, which greatly simplifies unwrapping process. antennas have two advantages:...
Deep learning methods have greatly promoted the ship detection performance in synthetic aperture radar (SAR) images. However, due to different imaging mechanisms and target characteristics, detecting ships SAR imagery precisely efficiently is still challenging. To address this issue, a streamlined rotational network (SRSD-Net) proposed letter. First, we construct lightweight using one-level feature receptive field block (RFB) extract features with rich context. Second, simple effective...
In this letter, an improved full-aperture imaging algorithm for scanning synthetic aperture radar (ScanSAR) mode is proposed, which fills the data gaps between bursts through a linear-prediction-model-based interpolation technique in subaperture manner before azimuth compression. It can significantly suppress spikes induced by periodical and, at same time, enhance signal-to-noise ratio of obtained ScanSAR imagery. This approach has great potential interferometric context. The effectiveness...
A fully polarimetric response of landslide areas at X-band was studied by a Chinese high-resolution airborne synthetic aperture radar system. Polarimetric decompositions, including the Yamaguchi four-component decomposition and Cloude decomposition, are used to analyze scattering mechanisms several typical landslides caused 2008 Wenchuan Earthquake in southwestern China. The experimental results indicate that affected large-scale show complicated X-band, which mixture surface, double bounce,...
To focus synthetic aperture radar data suffering from phase errors, a novel autofocus algorithm is presented. The uses the coordinate descent technique to estimate errors for maximum sharpness autofocus, where analytical‐form expressions are easy find optimal estimates on per‐parameter basis. Experimental results show validity of proposed algorithm.
A simple and effective approach for unsupervised classification of large-scale landslides caused by the Wenchuan earthquake is developed. The data sets used were obtained a high-resolution fully polarimetric airborne synthetic aperture radar system working at X-band. In proposed approach, Pauli decomposition false-color RGB imagery first transformed to hue-saturation-intensity (HSI) color space. Then, good combination k-means clustering HSI in different channels stage-by-stage automatic...
For accurate motion compensation (MOCO) in airborne synthetic aperture radar (SAR) imaging, a high-precision inertial navigation system (INS) is required. However, an INS not always precise enough or sometimes even included SAR systems. In this paper, new, raw, data-based range-invariant approach, which can effectively extract the displacements line-of-sight (LOS) direction, proposed for high-resolution sliding spotlight mode. sub-aperture radial accelerations of platform are estimated via...
The synthetic aperture radar (SAR) is a type of active that can obtain polarization scattering information ground objects, which an important supplement to optical remote sensing. This paper designs high-precision quantitative SAR system combines radiation and calibration processing achieve subtle perception the changes in soil moisture straw coverage. In Yushu, Jilin, we conducted first S-band agricultural sensing application experiment. backscattering coefficient was measured under...
In order to enable a testbed for spaceborne scanning synthetic aperture radar (ScanSAR) mode, in this letter, ScanSAR autofocusing approach airborne platforms has been developed. Autofocusing algorithms, such as the phase gradient autofocus (PGA) algorithm, prove be useful postprocessing technique get refocused images. However, conventional stripmap PGA does not work mode when full-aperture is used, due periodic data gaps each subswath. To solve problem, we extend with some modifications,...
In this paper, a novel Doppler rate (DR) estimation-based two-dimensional (2-D) subaperture motion compensation (MOCO) approach is proposed for high-resolution scanning synthetic aperture radar (ScanSAR) mode. It can estimate space-variant phase errors in different subswaths simultaneously by exploiting data of multiple subswaths. High-resolution ScanSAR images, produced full-aperture processing algorithm, are often defocused uncompensated errors. As result the periodic gapped each subswath...
A comprehensive and effective parallel airborne synthetic aperture radar (SAR) processing system using the architecture of central units (CPU) graphical (GPU) is proposed first in this paper. By techniques Compute Unified Device Architecture, SAR much more efficient robust, thereby enabling it to work with high efficiency. This paper focuses on optimizations motion compensation, subaperture chirp scaling algorithm, phase gradient autofocus (PGA), even visualization Open Source Computer...
For the sake of enhancing chlorine resistance and anti-biofouling simultaneously, surface an aromatic polyamide (APA) thin film composite (TFC) membrane was densely modified by quaternary ammonium cation (QAC) salicylaldehyde (SA) in this work. The aza-Michael reaction implemented on APA-TFC with aid dimethylaminoethyl methacrylate as a Michael receptor N–H groups belonged to amide, residual amines, polyamides donors. Then, dimethylamino were furthermore converted into QAC through...