A5103136054- Spectroscopy and Chemometric Analyses
- Mechanical Behavior of Composites
- Numerical methods in engineering
- Titanium Alloys Microstructure and Properties
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Vibration and Dynamic Analysis
- Geochemistry and Geologic Mapping
- Fatigue and fracture mechanics
- Metallic Glasses and Amorphous Alloys
- Metal Forming Simulation Techniques
- Graphene research and applications
- Structural Behavior of Reinforced Concrete
- Geotechnical Engineering and Underground Structures
- Microstructure and mechanical properties
- Structural Load-Bearing Analysis
- Additive Manufacturing Materials and Processes
- Soil Geostatistics and Mapping
- Rock Mechanics and Modeling
- Leaf Properties and Growth Measurement
- Electromagnetic wave absorption materials
- Intermetallics and Advanced Alloy Properties
- Textile materials and evaluations
- Contact Mechanics and Variational Inequalities
- Asphalt Pavement Performance Evaluation
Kunming University of Science and Technology
2023-2025
Changjiang Water Resources Commission
2023-2024
Beijing Drainage Group (China)
2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2018-2022
Wuhan University
2018-2022
Northwestern Polytechnical University
2009-2020
Jiangxi Province Forestry Survey Planning Institute
2014
Sinopec (China)
2008
Institute of Mechanics
1984-2007
Chinese Academy of Sciences
1984-2007
Accurate detection of cadmium (Cd) and lead (Pb)-induced cross-stress on crops is essential for agricultural, ecological environment, food security. The feasibility to diagnose predict Cd–Pb in agricultural soil was explored by measuring the visible near-infrared reflectance rice leaves. In this study, two models were developed—namely a diagnostic model prediction model. established based spectroscopy (VNIRS) datasets with Support Vector Machine (SVM), followed leave-one-out cross-validation...
Abstract Neither Cadmium (Cd) nor lead (Pb) is necessary for crop growth, and they both cause severe soil pollution in many countries. A cross‐stress experiment was designed to investigate the feasibility of diagnosing type level Cd–Pb by observing rice canopy hyperspectral images. Two‐way analysis variance random forest algorithm were employed select sensitive indices diagnosing. Following exploration bandwidth expansion from 1 20 nm, final proposed. We proposed two distinguishing heavy...
The accurate estimation of grassland carrying capacity (GCC) in the alpine grasslands Changjiang River source region is crucial for managing livestock loads and ensuring ecological security on Qinghai-Tibetan Plateau. Previous remote sensing methods have predominantly focused yield indicators, often neglecting quality which hampers precise GCC estimation. Here, we collected 25 samples from Dangqu basin, analyzing various grass parameters including yield, crude protein (CP), neutral detergent...
This paper proposed an optimal spectral resolution for diagnosing cadmium-lead (Cd-Pb) cross contamination with different pollution levels based on the hyperspectral reflectance of rice canopy. Feature bands were sequentially selected by two-way analysis variance (ANOVA2) and random forests from high-dimensional data after preprocessing. Then Support Vector Machine (SVM) was applied to diagnose using feature combination resolutions validation conducted evaluate distinguishing accuracies....
The objective of this study was to explore the feasibility for rapid diagnosis heavy metal Pb and Cd cross contamination in agricultural soil with hyperspectral image rice plants. Several data pretreatment methods were applied improve accuracy. best accuracy SVM model all above 75% any none, low, medium high concentration stress based on spectral band second derivative. To our knowledge, is first identifying by using images. results indicates that it feasible diagnose soils from observation...
Hyperspectral remote sensing images offer a unique opportunity to quickly monitor water depth, but how utilize the enriched spectral information and improve its spatial resolution remains challenge. We proposed depth estimation framework using deep learning four inversion methods verified effectiveness of different super in three waterbodies based on HJ-2 hyperspectral images. Results indicated that it was feasible use with higher via estimate depth. Deep improves from 48 m 24 shows less...
The in-situ tensile test of the field emission scanning electron microscope was used to study deformation mechanism TC4 titanium alloy manufactured by laser additive manufacturing along L direction (grain growth direction) and T (perpendicular grain direction). results show that during process, as deposited specimen mainly cracks interfaces α β which is 45 ° direction. With increase load, cracking increases. surface sample fluctuates until breaks. There no obvious change in prior boundary...