A5086294753- Seismic Waves and Analysis
- Remote Sensing and LiDAR Applications
- Geophysics and Sensor Technology
- Seismic Imaging and Inversion Techniques
- Optical Systems and Laser Technology
- 3D Surveying and Cultural Heritage
- Remote Sensing and Land Use
- Methane Hydrates and Related Phenomena
- Optical Polarization and Ellipsometry
- Remote Sensing in Agriculture
- Radiomics and Machine Learning in Medical Imaging
- Space Satellite Systems and Control
- COVID-19 diagnosis using AI
- Text and Document Classification Technologies
- Lung Cancer Diagnosis and Treatment
- Environmental and Agricultural Sciences
- Environmental Quality and Pollution
- Research studies in Vietnam
- IoT and Edge/Fog Computing
- Video Surveillance and Tracking Methods
- Target Tracking and Data Fusion in Sensor Networks
- Multimodal Machine Learning Applications
- Regional Economic and Spatial Analysis
- Advanced Algorithms and Applications
- Forest ecology and management
China University of Geosciences
2008-2024
Tsinghua University
2023-2024
Xiamen University
2024
Second Institute of Oceanography
2021
Jilin University
2011
With the rapid modernization, many remote-sensing sensors were developed for classifying urban land and environmental monitoring. Multispectral LiDAR, which serves as a new technology, has exhibited potential in monitoring due to synchronous acquisition of three-dimension point cloud spectral information. This study confirmed multispectral LiDAR complex cover classification through three comparative methods. Firstly, Optech Titan was pre-processed ground filtered. Then, methods analyzed: (1)...
Urban trees, as a characteristic element of the urban ecosystem, exert significant influences on climate supervision. Therefore, extraction individual trees in areas holds research value. However, complexity features poses challenges to existing single tree segmentation algorithms, they may be influenced by other non-tree features. In this study, reduce influence categories, enhance identification edge between adjacent crowns and achieve precise delineation results tree, an improved...
Collecting full annotations to construct multi-label datasets is difficult and labor-consuming. As an effective solution relieve the annotation burden, single positive learning (SPML) draws increasing attention from both academia industry. It only annotates each image with one label, leaving other labels unobserved. Therefore, existing methods strive explore cue of unobserved compensate for insufficiency label supervision. Though achieving promising performance, they generally consider...
Multispectral LiDAR can rapidly acquire 3D and spectral information of objects, providing richer features for point cloud semantic segmentation. Despite the remarkable performance existing graph neural networks in segmentation, extracting local still poses challenges multispectral scenes due to uneven distribution geometric information. To address prevailing challenges, cutting-edge research predominantly focuses on multi-scale features, compensating feature extraction shortcomings. Thus, we...
The segmentation of pulmonary arteries and veins in computed tomography scans is crucial for the diagnosis assessment diseases. This paper discusses challenges segmenting these vascular structures, such as classification terminal vessels relying on information from distant root vessels, complex branches crossings arteriovenous vessels. To address difficulties, we introduce a fully automatic method that utilizes multiple 3D residual U-blocks module, semantic embedding perception module....
Support vector machine is a learning method which based on structural risk minimization principle. The traditional parameter optimization methods of support regression mainly employ grid search and so on. These have shortcomings being guided by human experience time-consuming. In recent years, many intelligent algorithms are used for SVR problem, show good results. Simplex direct algorithm solving unconstrained nonlinear programming problems. To avoid precocity poor local searching ability...
PreviousNext You have accessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2015Surface-wave Seismology for (Ken Stokoe Honorary Session) #2Authors: Binbin MiJianghai XiaChao ShenJacob SheehanPhil SirlesJulian IvanovRichard D. MillerSarah MortonShelby PeterieKoichi HayashiRecep CakirJoe DragovichJoseph SchilterTimothy J. WalshBruce A. StokerLingli GaoYudi PanAntony MartinDavid CarpenterAlan YongAntonio DiMatteoCari RoughleyMitchell CraigAo WangXiaofei...