A5103228577- Landslides and related hazards
- Fire effects on ecosystems
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Soil erosion and sediment transport
- Remote Sensing and Land Use
- Advanced Image Processing Techniques
- 3D Surveying and Cultural Heritage
- Advanced Vision and Imaging
- Video Coding and Compression Technologies
- Remote Sensing and LiDAR Applications
- Geodetic Measurements and Engineering Structures
- Geophysics and Gravity Measurements
- Remote-Sensing Image Classification
- Tree Root and Stability Studies
- Geochemistry and Geologic Mapping
- Geotechnical Engineering and Analysis
- Remote Sensing in Agriculture
- Viral Infections and Vectors
- Statistical and numerical algorithms
- Soil Geostatistics and Mapping
Hubei University of Technology
2020-2024
China University of Geosciences
2016
Tsinghua University
2016
Institute of Microelectronics
2016
The intensive computation of High Efficiency Video Coding (HEVC) engenders challenges for the hardwired encoder in terms hardware overhead and power dissipation. On other hand, constrains design seriously degrade efficiency software oriented fast coding unit (CU) partition mode decision algorithms. A algorithm is attributed as VLSI friendly, when it possesses following properties. First, maximum complexity encoding a tree (CTU) could be reduced. Second, parallelism should not deteriorated....
Filtering is one of the core post-processing steps for airborne LiDAR point cloud. In recent years, morphology-based filtering algorithms have proven to be a powerful and efficient tool However, most traditional difficulties in preserving abrupt terrain features, especially when using larger windows. order suppress omission error caused by protruding this paper proposes an improved morphological algorithm based on multi-level kriging interpolation. This essentially combination progressive...
Abstract This study introduces four rock–soil characteristics factors, that is, Lithology, Rock Structure, Infiltration, and Weathering, which based on the properties of rock formations, to predict Landslide Susceptibility Mapping (LSM) in Three Gorges Reservoir Area from Zigui Badong. Logistic regression, artificial neural network, support vector machine is used LSM modeling. The consists three main steps. In first step, these factors are combined with 11 basic form different factor...
Abstract Landslides, recognized as a significant global natural disaster, necessitate an exploration of the impact various resolution types in sampling strategies on Landslide Susceptibility Mapping (LSM) results. This study focuses segment from Zigui to Badong within Three Gorges Reservoir Area, utilizing two types: and spatial resolution, The Support Vector Machine (SVM) is employed obtain LSM results, which are then analyzed using Receiver Operating Characteristic (ROC) curve, specific...
In this study, a novel coupling model for landslide susceptibility mapping is presented. practice, environmental factors may have different impacts at local scale in study areas. To provide better predictions, geographically weighted regression (GWR) technique firstly used our method to segment areas into series of prediction regions with appropriate sizes. Meanwhile, support vector machine (SVM) classifier exploited each region mapping. further improve the performance, particle swarm...
The Zigui-Badong section of the Three Gorges Reservoir area is used as research in this study to impact unbalanced sample sets on Landslide Susceptibility Mapping (LSM) and determine ratio interval with best performance for different models. We employ 12 LSM factors, five training ratios (1:1, 1:2, 1:4, 1:8, 1:16), C5.0, Support Vector Machine (SVM), Logistic Regression (LR), one-dimensional Convolution Neural Network (CNN) models are obtain landslide susceptibility index zoning area,...
The real-time requirements of hardwired HEVC encoder demand that, at the grain coding tree unit (CTU), maximum computation should be reduced by a fast CU mode decision algorithm. In addition, to realize parallel rate-distortion optimization (RDO) different modes, current not use auxiliary information from other modes. Considering above constraints, we applied convolutional neural network (CNN) analyze textures source picture blocks, and then reduce number which will undergo exhaustive RDO....
Landslides pose a great threat to the safety of people’s lives and property within disaster areas. In this study, Zigui Badong section Three Gorges Reservoir is used as study area, land use (LU), change (LUC) band math (band) factors from 2016–2020 along with six selected commonly are form factor combination (LUFC), (LUCFC) (BMFC). An artificial neural network (ANN), support vector machine (SVM) convolutional (CNN) chosen three models for landslide susceptibility mapping (LSM). The results...
China experiences frequent landslides, and therefore there is a need for landslide susceptibility maps (LSMs) to effectively analyze predict regional landslides. However, the traditional methods of producing an LSM are unable account different spatial scales, resulting in imbalances. In this study, Zigui-Badong Three Gorges Reservoir Area was used as case data obtained from remote sensing images, digital elevation model, geological topographic maps, surveys. A geographic weighted regression...
The mining industry production is an important pillar in China, while its extensive activities have led to several ecological and environmental problems. Earth observation technology using high-resolution satellite imagery can help us efficiently obtain information on surface elements, surveying monitoring various land occupation issues arising from open-pit activities. Conventional pixel-based interpretation methods for remote sensing images are restricted by “salt pepper” noise caused...
Landslides are geological disasters affected by a variety of factors that have the characteristics strong destructive nature and rapid development cause major harm to safety people’s lives property within scope disaster. Excessive landslide susceptibility mapping (LSM) can reduce accuracy LSM results not conducive researchers finding key factors. In this study, with Three Gorges Reservoir area Padang section as an example, frequency ratio (FR), index entropy (IOE), Relief-F algorithm,...
The authors would like to make the following corrections about published paper [...]