- Oil Spill Detection and Mitigation
- Marine and coastal ecosystems
- Ocean Waves and Remote Sensing
- Planetary Science and Exploration
- Atmospheric and Environmental Gas Dynamics
- Spacecraft Design and Technology
- Toxic Organic Pollutants Impact
- Methane Hydrates and Related Phenomena
- Complementary and Alternative Medicine Studies
- Phytochemicals and Antioxidant Activities
- Geochemistry and Geologic Mapping
- Advanced Malware Detection Techniques
- Astronomical Observations and Instrumentation
- Scientific Research and Discoveries
- Anomaly Detection Techniques and Applications
- Satellite Image Processing and Photogrammetry
- Inertial Sensor and Navigation
- Astro and Planetary Science
- Gut microbiota and health
- Polysaccharides and Plant Cell Walls
- Geological Modeling and Analysis
- Adversarial Robustness in Machine Learning
- Advanced Fiber Optic Sensors
- Spacecraft and Cryogenic Technologies
- Oceanographic and Atmospheric Processes
Aerospace Information Research Institute
2021-2025
Chinese Academy of Sciences
2021-2025
University of Chinese Academy of Sciences
2021-2025
State Key Laboratory of Remote Sensing Science
2021-2023
Hainan University
2022-2023
In this study, eco-friendly deep eutectic solvents (DESs) were used as extracting agents for the first time in extraction of pectins from mango peel. Two novel green including betaine-citric acid (Bet-CA) and choline chloride-malic (ChCl-MaA) screened, conditions further optimized by full factor design experimental along with RSM. addition, ultrasound treatment also had an influence on yield, structural physicochemical properties extracted pectins. DES-extracted significantly higher larger...
Oils floating on the sea surface can be observed as "dark" patches radar images since backscattered signals from contaminated area are reduced in two dominant ways. First, oil slicks could damp short gravity and capillary waves responsible for backscattering energy. Second, oil-covered permittivity decreases significantly if film is sufficiently thick or mixed with seawater, i.e., emulsion. In this article, geometry of accounted by damping waves, which described model local balance (MLB)...
SAR data from the lunar spaceborne Reconnaissance Orbiter’s (LRO) Mini-RF and Chandrayaan-1’s Mini-SAR provide valuable insights into properties of surface. However, public products are not properly registered limited by localization issues. Existing registration methods for Earth have proven to be inadequate in their robustness registration. And current research on has yet focused producing globally datasets. To solve these problems, this article introduces a robust automatic method...
The Chinese Chang’E-7 (CE-7) mission is planned to land in the lunar south polar region, and then deploy a mini-flying probe fly into cold trap detect water ice. selection of landing site crucial for ensuring both safe successful achievement its scientific objectives. This study presents method challenging environment pole, utilizing multi-source remote sensing data. First, likelihood ice all traps within 85°S assessed prioritized using neutron spectrometer hyperspectral data, with most...
This paper contrasts predicted X-band sea surface backscattering from slick-free and oil-covered surfaces with actual measurements acquired by the satellite TerraSAR-X COSMO-SkyMed Synthetic Aperture Radar (SAR) missions. Two SAR scenes were a temporal difference of about 36 minutes, under similar met-ocean conditions, during North Sea's Gannet Alpha oil spill accident. The normalized radar cross section is using Advanced Integral Equation Model (AIEM) while backscatter oiled AIEM augmented...
In this study, the potential of electromagnetic scattering models to retrieve quantitative parameters sea oil spills is investigated using an artificial intelligence (AI)-based approach. The backscattering coefficient a slick-covered surface predicted advanced integral equation model augmented with local balance (MLB), effective dielectric constant model, and composite medium include effect slick. Damping ratios (DRs), for different (namely, thickness seawater volume fraction), are used...
In this study, the bistatic radar scattering coefficients related to an oil-covered sea surface are predicted by modeling both oil damping effect on roughness–through advanced integral equation method–and modification dielectric properties of surface. The is analyzed in whole upper space under different frequencies, incidence angles, wind speeds, and thicknesses. Numerical predictions show that energy generally higher forward zone than backward one. addition, main mechanism ruling behavior...
In this study, sea surface scattering with and without surfactants is predicted using the two-scale boundary perturbation model (BPM) advanced integral equation (AIEM) augmented two different damping models, i.e., Marangoni one of local balance (MLB). Numerical predictions are showcased for both mineral oil biogenic slicks. They contrasted actual satellite Synthetic Aperture Radar (SAR) measurements collected at X-band by German TerraSAR-X sensor over plant slicks known origin. Experimental...
In this study, the Artificial Neural Network technique is used to retrieve quantitative parameters of marine oil spill on Synthetic Aperture Radar imagery. fact, while has been widely exploited obtain morphological features sea spills as extent and shape, its potential extract thickness information underexplored. Hence, an artificial neural network proposed that have trained tested using damping ratio predicted by a microwave scattering model consisting Advanced Integral Equation Method in...
In this study, the normalized radar cross section (NRCS) as well damping ratio (DR) of surfactants known origin are predicted using two scattering models, namely two-scale Boundary Perturbation Model (BPM) and Advanced Integral Equation (AIEM), which augmented with Marangoni coefficient Local Balance (MLB). Theoretical predictions contrasted actual measurements acquired - over same oil-covered area by X-band TerraSAR-X CosmoSkyMed Synthetic Aperture Radar (SAR) missions.
Deep neural networks (DNNs) have achieved great success in various computer vision tasks. However, they are susceptible to artificially designed adversarial perturbations, which limit their deployment security-critical applications. In this paper, we propose a gradual training (GAT) method for remote sensing image segmentation. Our incorporates domain-adaptive mechanism that dynamically modulates input data, effectively reducing perturbations. GAT not only improves segmentation accuracy on...
Irregular mare patche (IMP) is one of the most enigmatic volcanic features in lunar nearside maria. Their apparently fresh surface morphology and derived young model ages contradict currently proposed thermal evolution history Moon. Lunar orbital synthetic aperture radar (SAR) data Mini-RF onboard Reconnaissance Orbiter (LRO) dual-frequency SAR (DFSAR) flying on Chandrayaan-2 are analyzed this article, to constrain properties IMPs within some depth from a perspective. The datasets firstly...
Optical fiber sensors based on waist-enlarged structure and spherical were proposed for strain measurement. Their fabrication process experimental results compared. The sensitivities of the are -0.66pm/με -1.28pm/με, respectively. It shows that Mach-Zehnder sensor fabricated by has advantages good repeatability easy fabrication, higher sensitivity
In this paper, the normalized radar cross section of sea surfaces as well damping ratio surfactants known origin are predicted using Advanced Integral Equation Model (AIEM), which is augmented Local Balance. Theoretical predictions contrasted with actual measurements acquired - over same oil-covered area and under met-ocean conditions by X-band TerraSAR-X (TSX) Cosmo-SkyMed (CSK) Synthetic Aperture Radar (SAR) missions. Experimental results show that AIEM provides a fairly good agreement...
Emulsified oil slicks can not only damp short gravity and capillary waves on the sea surface, but also reduce permittivity of contaminated area. This paper simulates backscattering coefficients emulsion covered surfaces based AIEM, with damping model described by local balance (MLB). The surface finite thickness is modeled as a layered-medium to calculate composite reflection coefficients. simulation results oil-covered are compared those clean discussed in terms incidence angles frequencies...