A5101872543- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Advanced SAR Imaging Techniques
- Soil Moisture and Remote Sensing
- Remote Sensing in Agriculture
- Spectroscopy and Chemometric Analyses
- Geophysics and Gravity Measurements
- Geological and Geophysical Studies
- Scheduling and Optimization Algorithms
- Advanced Scientific and Engineering Studies
- Welding Techniques and Residual Stresses
- Atmospheric and Environmental Gas Dynamics
- Underwater Acoustics Research
- Methane Hydrates and Related Phenomena
- Oil Spill Detection and Mitigation
- Advanced Welding Techniques Analysis
- Advanced Battery Technologies Research
- Particle Detector Development and Performance
- Advanced optical system design
- Titanium Alloys Microstructure and Properties
- Geophysical Methods and Applications
- Optical Systems and Laser Technology
- Face and Expression Recognition
- Dark Matter and Cosmic Phenomena
Chinese Academy of Surveying and Mapping
2010-2025
Ministry of Natural Resources
2024
State Grid Corporation of China (China)
2024
Purple Mountain Observatory
2023
University of Perugia
2023
Istituto Nazionale di Fisica Nucleare, Sezione di Bari
2023
Istituto Nazionale di Fisica Nucleare, Sezione di Perugia
2023
Istituto Nazionale di Fisica Nucleare, Roma Tor Vergata
2023
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2013
Wuhan University
2013
Spaceborne time series SAR interferometry (TS-InSAR) technology has been widely applied in ground deformation monitoring. The current popular TS-InSAR are carried out mainly on permanent scatterers (PS) or distributed scaterrers (DS), which can map the sparse targets with high moderate coherence. However, high-precision and high-density monitoring is always restricted by atmospheric artifacts surface decorrelation, especially over nonurban areas. Here we show that be precisely mapped density...
Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features the advantages recognize oil areas from other look-alikes. In paper we proposed method based on convolutional neural network (CNN) Simple Linear Iterative Clustering (SLIC) superpixel. Experiments were conducted three Single Look Complex (SLC) quad-polarimetric images...
Ship-sea contrast can be improved significantly when the full polarimetric information is used, compared with provided by a single polarization channel. Therefore, new automatic ship detection method, termed SPAN Wishart (SPWH), proposed in this paper based on an unsupervised classification concept, which combines of SAR (POLSAR) data complex classifier. The significant improvement technique to utilize cluster center as iterative termination criterion realize detection. Then, another method...
The tides of the Qiantang River in eastern China are one three major world. Although these spectacular, they seriously threaten seawalls river. Rapid and accurate monitoring ground deformations along is important not only to themselves but also vast amount land behind them. We carried out comprehensive, unprecedented high-density mapping using latest full scatterer (FS) interferometric synthetic aperture radar (InSAR) technique with 56 Sentinel-1 SAR images acquired from October 2020 2022....
Welding of AZ31 Mg alloy was conducted using various welding techniques, namely, tungsten inert gas (TIG) with Ar shielding gas, TIG He CO 2 laser welding, and YAG welding. The results were comparatively evaluated in terms weld bead formation microstructural characterisation. It found that both produced good welds without major defects. penetration capacity can be improved shielding. Owing to their high energy density, lasers produce beads having aspect ratio. Among the four techniques used,...
As synthetic aperture radar (SAR) is playing an increasingly important role in Earth observations, many new methods and technologies have been proposed for change detection using multi-temporal SAR images. Especially with the development of deep learning, numerous recent years. However, requirement to a certain number high-quality samples has become one main reasons limited these methods. Thus, this paper, we propose unsupervised method that based on stochastic subspace ensemble learning....
The mean shift algorithm, which uses a moving window and utilizes both spatial range information contained in an image, is widely employed digital image filtering segmentation. However, because of the large dynamic synthetic aperture radar (SAR) images, applying conventional algorithm directly to SAR will not produce meaningful results. This paper proposes adaptive variable asymmetric bandwidth selection approach be used newly derived generalized algorithm. proposed very versatile can for...
Synthetic Aperture Radar (SAR) ship detection is an important maritime application. However, azimuth ambiguities caused by the finite sampling of Doppler spectrum are often visible in SAR images and always mistaken as ships classic techniques, like Constant False Alarm Rate (CFAR). It known that radar targets have different characteristics polarimetric (PolSAR) data, i.e., first usually strong odd- or double-bounce scattering maximum amplitude ambiguity SHV considerably smaller than...
The High Energy cosmic-Radiation Detection facility is a large field-of-view, high-energy cosmic ray experiment planned to be installed on the China Space Station in 2027. Silicon Charge Detector specialized HERD sub-detector aimed at accurately measuring absolute charge magnitude $Z$, thus separating chemical species rays from hydrogen ($Z=1$) iron ($Z=26$) and beyond. SCD design based multiple layers of single-sided micro-strip sensors that measure energy deposited impact position...
This letter presents a synthetic aperture radar (SAR) change detection method based on the consistency of single-pixel difference and neighbourhood difference. The is reflected by log-ratio (LR), logarithmic likelihood ratio (LLR) used to calculate Then, two operators mentioned are combined construct new detector. detector can enhance degree between changed class unchanged while having better anti-noise ability. According histogram image (DI), curve pattern that changes from stabilization...
This paper presents a procedural approach to the design optimization of boost power factor correction front-end converter with an input EMI filter. The system variables are first identified. relevant responses and component costs then expressed as function these variables. Finally, by using mathematical techniques, variable values that minimize total cost obtained, given practical constraints on responses.
The existing fire scar detection methods based on multi-temporal analysis only used the difference in either backscattering intensity or polarimetric characteristics between pre- and post-fire PolSAR data to calculate image (DI), then applied an object-based approach (OBIA) generate binary map. These all ignored correlation both data. And many parameters of OBIA method were determined empirically. Therefore, this study proposes a new method, which integrates Hotelling–Lawley trace (HLT)...
Large SAR images usually contain a variety of land-cover types and accordingly complicated change types, which cause great difficulty for accurate detection. The U-Net is special fully convolutional neural network that not only can capture multiple features in the image context but also enables precise pixel-by-pixel classification. Therefore, we explore to describe accurately differences between bi-temporal high-precision However, large scene often have significantly different statistical...
There are more unknowns than equations to solve for previous four-component decomposition methods. So they have determine each scattering power with some assumptions and avoid negative powers in decomposed results physical constraints. This paper presents a multi-component multi-look Polarimetric SAR (PolSAR) data by combining the Generalized similarity parameter (GSP) eigenvalue decomposition. It extends existing fourcomponent adding diffuse as fifth component considering additional...
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The deep learning-based change detection (CD) methods have achieved remarkable progress with remote sensing imagery. These mainly rely on complex feature extraction structures and numerous attention mechanisms to realize effective recognition. However, this results in a significant increase the number of parameters training cost whole network. parameterization can also lead degradation network performance when amount data is insufficient. Thus, it still promising challenging perform reliable...
To detect historical cumulative changes in land cover, this study introduces a novel time series PolSAR change detection method. The objective is to address the inefficiency of traditional methods that use multiple pairwise comparisons, as well alleviate false positives and negatives caused by insufficient utilization polarization spatial context information previous methods. proposed method initially constructs temporal difference matrix for images computes image (DI) using maximum...
In this paper, a algorithm of airborne SAR Direct Geocoding based on correction systematic error including slant range measurement and time delay is put forward to improve the positioning precise, POS/PPP technique used obtain radar phase center position data taking into account work efficiency. Many factors result in accuracy, but main them are delay, if they couldn't be corrected precisely, accuracy won't satisfactory. So paper calculates errors through some control points with P-band...
Coherent pixel (CP) selection is an important step in the processing chain of time series InSAR analysis. In this research, we propose a light deep learning framework, i.e., dual-channel one-Dimensional Convolution Neural Network (1-D CNN) to select CPs. The 1-D CNN has simple input: SAR amplitude and interferogram coherence, can be trained with CP samples generated by traditional thresholding method. experiment based on Sentinel-1 temporal images Tianjin, China, substantially outperforms...
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Abstract. There are more unknowns than equations to solve for previous four-component decomposition methods. In this case, the nonnegative power of each scattering mechanism has be determined with some assumptions and physical constraints. This paper presents a new scheme, which models measured matrix after polarimetric orientation angle (POA) compensation as linear sum five mechanisms (i.e., odd-bounce scattering, double-bounce diffuse volume helix scattering). And is calculated by slight...