- Advanced Image Fusion Techniques
- Additive Manufacturing and 3D Printing Technologies
- Remote-Sensing Image Classification
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Injection Molding Process and Properties
- Innovations in Concrete and Construction Materials
- Infrared Target Detection Methodologies
- Hydrogels: synthesis, properties, applications
- Adsorption and biosorption for pollutant removal
- Advanced ceramic materials synthesis
- Image Enhancement Techniques
- Vibration and Dynamic Analysis
- Magnetic Bearings and Levitation Dynamics
- Maritime Navigation and Safety
- Fatigue and fracture mechanics
- Mechanical Failure Analysis and Simulation
- Mechanical Engineering and Vibrations Research
- Photopolymerization techniques and applications
- Advanced Neural Network Applications
- Magneto-Optical Properties and Applications
- Graphene and Nanomaterials Applications
- Bone Tissue Engineering Materials
- Oil Spill Detection and Mitigation
- Advanced Decision-Making Techniques
First Institute of Oceanography
2024
Ministry of Natural Resources
2024
China University of Petroleum, East China
2024
Northwestern Polytechnical University
2008-2024
University of Science and Technology Beijing
2022
Vrije Universiteit Brussel
2019
Hefei Institute of Technology Innovation
2016
Hefei Institutes of Physical Science
2016
Chinese Academy of Sciences
2012
Institute of Intelligent Machines
2009
Monitoring open water bodies accurately is an important and basic application in remote sensing. Various body mapping approaches have been developed to extract from multispectral images. The method based on the spectral index, especially Modified Normalized Difference Water Index (MDNWI) calculated green Shortwave-Infrared (SWIR) bands, one of most popular methods. recently launched Sentinel-2 satellite can provide fine spatial resolution This new dataset potentially significance for...
This letter presents a cloud removal method for reconstructing the missing information in cloud-contaminated regions of high-resolution (HR) optical satellite image (HRI) using two types auxiliary images, i.e., low-resolution (LR) composite (LRI) and synthetic aperture radar (SAR) image. The LRI contributes low-frequency information, SAR high-frequency restoring HRI. approach is implemented structure correspondences established by sparse representation. Specifically, dictionary pairs are...
In this article, we proposed a thick cloud removal method for remote-sensing imagery based on multisource estimation. A convolutional-mapping-deconvolutional (CMD) network is to estimate the cloud-free image directly from reference images. Synthetic aperture radar (SAR) and low-resolution heterogeneous (LRH) image, namely, different optical sensor with lower spatial resolution, are used as images recover missing information in cloud-contaminated high-resolution (HR) image. The CMD net...
Cellulose, hemicellulose, and lignin are three kinds of biopolymer in lignocellulosic biomass, the utilization biopolymers to synthesize hydrogel adsorbent could protect environment enhance economic value biomass. A novel was prepared using cellulose, lignin, hemicellulose wheat straw by a one-pot method, showed excellent adsorption performance for copper(II) ions. Scanning electron microscopy Fourier transform infrared spectroscopy analysis that straw-biopolymer-based had porous structure,...
In this paper, we propose a method for cloud removal in cloud-contaminated high-resolution (HR) optical satellite image with two kinds of auxiliary images different types: low-resolution (LR) composite and synthetic aperture radar (SAR) image. the proposed method, assume that cloud-free regions have been detected accurately, then dictionary group learning (DGL) is used to establish structure correspondences between HR, LR, SAR data from patches, while interdictionary nonlocal joint sparse...
Abstract Alumina‐based ceramic cores are used to manufacture the internal structures of hollow alloy blades, requiring both high precision and moderate properties. In this work, zirconia is regarded as a promoter improve mechanical properties sintered ceramic. The effect content particle size on microstructure ceramics was evaluated. results indicate that flexural strength reached maximum 14.5 ± 0.5 MPa when 20 wt% micron‐sized (10 μm) (agglomerate size, consistent with alumina size) added,...
Abstract 3D‐printed alumina ceramic cores often face the problem of low flexural strength at its application temperature 1500℃, and requirements on porosity limit fabrication process. In this research, three types solutions were employed to impregnate ceramics improve cores. The results showed that silica sol (SS), tetraethyl orthosilicate (TO), 3‐(Trimethoxysilyl)propyl methacrylate (PM) all could (room temperature) 3D printed effectively compared control sample (CS) without impregnation,...
Accurate Burden Surface Profile (BSP) detection is important for the operation of Blast Furnace (BF). The signal-to-noise ratio radar signals changes greatly during both charging period BF and long maintenance device, which increases difficulty BSP detection. traditional method based on signal energy relies manually selected thresholds according to noise intensity. Hence, accuracy not reliable in term. To address this problem, we propose a novel learning-based Key Points estimation (KP-BSP)...
Herein, xylan-g-PMMA was synthesized by grafting poly(methyl methacrylate) (PMMA) onto xylan and characterized FT-IR HSQC NMR spectroscopies, the xylan-g-PMMA/TiO2 solution used to electrospun nanofibers at voltage of 15 Kv, which first time employing nanofibers. Moreover, electrospinning operating parameters were optimized assessing process morphology fibers, as follows: mixed solvent DMF chloroform in a volume ratio 5:1, an anhydroxylose unit (AXU)/MMA molar lower than 1:2, flow speed...
Marine anchor buoys, as fixed-point profile observation platforms, are highly susceptible to the threat of ship collisions. Installing cameras on buoys can effectively monitor and collect evidence from ships. However, when using a camera capture images, it is often affected by continuous shaking rainy foggy weather, resulting in problems such blurred images rain fog occlusion. To address these problems, this paper proposes an improved YOLOv8 algorithm. Firstly, polarized self-attention (PSA)...
Abstract In this work, alumina was selected as the second phase reinforced fused quartz ceramics and SiO 2 –Al O 3 composite were fabricated via digital light processing (DLP) 3D‐printing. The effect of sintering procedure on mechanical dielectric properties investigated in detail. results show that amount cristobalite precipitation is key factor affecting ceramics. could be controlled effectively by adjusting heating rate, holding time, temperature. set rate 4°C/min, temperature 1200°C,...
The wavelet analysis is widely used in different field. essence of image fusion based on transform low-pass filtering and high-pass filtering. has be employed to merge multi-spectral images panchromatic ETM+ QB respectively, that compared with smoothing filter-based intensity modulation (SFIM) (HPT). results show both WT SFIM have the best low (spectral) frequency preservation spatial resolution imageries, while HPT gets most high (spatial) information from will loss much useful spectral form data.
Vibration of Large flexible appendage seriously reduces the stability and accuracy satellite attitude control, which can be solved by adjusting controller via on-orbit system identification method. This paper focuses on large close mode antenna, Observer/Kalman filter (OKID) method is put into practice to solve problem identification. Mode parameters displacement responses under impulse white noise excitations are extracted finite element (FEM), then concept singular entropy introduced...
Modified Brovey transform (MBT) based on the principle of (BT) has been proposed in this paper to merge each band remotely sensed imagery. Three information fusion methods, wavelet transform, smoothing filter-based intensity modulation (SFIM), and MBT have employed multi-spectral images with panchromatic image IKONOS sensor. The visual evaluation quantitative analysis confirm that highest spatial frequency preservation while SFIM enjoys best spectral information, comparatively, a suboptimal...
Thin cloud removal is very important for optical remote sensing imagery. Different from thick removal, the pixels contaminated by thin still preserve some surface information. Therefore, methods usually focus on suppressing influence instead of replacing cloudy pixels. In this paper, we proposed a deep residual symmetrical concatenation network (RSC-Net) to make end-to-end removal. The RSC-Net based an encoding-decoding framework consisting multiple convolutional layers and deconvolutional...
The original principle of image fusion based on pixel level is using the spatial and spectral information from different remotely sensed data to generate a new image. So, method with high preservation main issue. In this paper, modified Brovey transform (MBT) has been proposed model. Three methods MBT, wavelet (WT) smoothing filter-based intensity modulation (SFIM), which can merge each band images directly, are applied respectively multi-spectral panchromatic ETM+ QB sensors. qualitative...
Spectral information and spatial of high resolution remotely sensed data are useful for natural disasters remote sensing application. At present, spectral images contradictory factors. Image fusion methods can balance the contradictions between information. In this paper, three image such as SFIM, WT MBT have been employed to fuse either individual band multispectral with panchromatic FORMOSAT-2 in disaster area Wenchuan earthquake, Sichuan province, China. Qualitative evaluation...
Data fusion techniques of pixel level are widely used to integrate a lower spatial resolution multi-spectral image with higher panchromatic image. Four data techniques, smoothing filter-based intensity modulation (SFIM), high pass-filter transform (HPT), wavelet (WT) and multiplication (MT), adapted fuse low Quick-Bird sensor. The visual evaluation quantitative analysis results show that HPT MT models provide relatively frequency information gaining from channel while SFIM provides the best...