A5084561495- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Pharmaceutical and Antibiotic Environmental Impacts
- Pesticide and Herbicide Environmental Studies
- Advanced Neural Network Applications
- Microbial bioremediation and biosurfactants
- Coal and Its By-products
- Lichen and fungal ecology
- Radioactive contamination and transfer
- Seismic Imaging and Inversion Techniques
- Remote Sensing and Land Use
- Optical Systems and Laser Technology
- Radioactive element chemistry and processing
- Heavy metals in environment
- Geophysical Methods and Applications
- Remote-Sensing Image Classification
- Advanced Image and Video Retrieval Techniques
- Advanced Image Fusion Techniques
- Chemistry and Chemical Engineering
- Soil Carbon and Nitrogen Dynamics
- Radar Systems and Signal Processing
- Sugarcane Cultivation and Processing
- Chromium effects and bioremediation
National University of Defense Technology
2024-2025
Southwest University of Science and Technology
2020
Jilin University
2010-2012
Deep learning has offered new ideas in SAR ship target recognition. Although many methods improve the recognition performance through improvement of loss function and migration deep networks, scattering features as important intrinsic targets, need to be considered tasks. To introduce into network characterize targets more comprehensively, a multi-scale global feature association (MGSFA-Net) for is proposed this paper. In network, firstly separated from background by fine segmentation. Then,...
Ship recognition in synthetic aperture radar (SAR) is an essential challenge SAR image interpretation. The measured ship targets often contain complex background such as port facilities and neighboring ships, which are easy to interfere with the model affect performance. To address this issue, a method based on dual-branch transformer fusion network proposed paper. First of all, feature extraction architecture designed paper, including significant (SFE), global (GFE), (D-BFF). Specifically,...
Abstract By enrichment culturing of the sludge collected from industrial wastewater treatment pond, we isolated a highly efficient nicosulfuron degrading bacterium Serratia marcescens N80. In liquid medium, N80 grows using as sole nitrogen source, and optimal temperature, pH values, inoculation for degradation are 30–35°C, 6.0–7.0, 3.0% (v/v), respectively. With initial concentration 10 mg L−1, rate is 93.6% in 96 hours; concentrations higher than biodegradation rates decrease increase; when...
Post phytoremediation accumulation of heavy metals in plants is causing an environmental issue worldwide. In this study, we investigated the ability eight different kinds microorganisms to degrade and release from metal enriched ryegrass, including 5 species bacteria (Bacillus subtilis, Bacillus licheniformis, pumilus-I, pumilus-II cereus) 3 fungi (Phanerochaete chrysosporium, Trichoderma ressei Pterula sp. strain QD-1), by growing them under uranium stress assessing their biomass. After 30...
Enrichment culturing of sludge taken from an industrial wastewater treatment pond led to the identification a bacterium (Klebsiella jilinsis H. Zhang) that degrades chlorimuron-ethyl with high efficiency. Klebsiella strain 2N3 grows as sole nitrogen source at optimal temperature range 30–35°C and pH values between 6.0–7.0. In liquid medium, degradation activity was further induced by chlorimuron-ethyl. Degradation rates followed pesticide kinetic equation concentrations 20 200 mg L−1. Using...
SAR image target recognition relies heavily on a large number of annotated samples, making it difficult to classify the unseen class targets. Due lack effective category auxiliary information, current zero-shot methods for images are limited inferring only one rather than classifying multiple classes. To address this issue, conditional generative network with features from simulated is proposed in paper. Firstly, deep extracted and fused into that characterize entire class. Then, VAE-GAN...
In order to investigate the relationship between chemical indexes and hygroscopicity of flue-cured tobacco,the absorption equilibrium moisture content(AEMC) desorption content(DEMC),total sugar,reducing sugar,total nitrogen,nicotine,chlorine,potassium pH seventy-six domestic imported tobacco samples were tested,and simple correlation analysis,gray analysis canonical obtained data carried out.The results indicated that: 1) AEMC DEMC extremely significantly positively correlated with its total...