A5101910670- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Automated Road and Building Extraction
- 3D Surveying and Cultural Heritage
- Craniofacial Disorders and Treatments
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Land Use and Ecosystem Services
- Cleft Lip and Palate Research
- High-Energy Particle Collisions Research
- Advanced Image and Video Retrieval Techniques
- Impact of Light on Environment and Health
- Robotics and Sensor-Based Localization
- Maritime Navigation and Safety
- Advanced Measurement and Detection Methods
- Orthodontics and Dentofacial Orthopedics
- Coral and Marine Ecosystems Studies
- Dental Implant Techniques and Outcomes
- Urban Heat Island Mitigation
- Flood Risk Assessment and Management
- Advanced Algorithms and Applications
- Tracheal and airway disorders
- Urban Transport and Accessibility
Nanjing University
2016-2025
EY Technologies (United States)
2025
South China Institute of Collaborative Innovation
2020-2024
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2015-2024
Joint Institute for Nuclear Research
2024
Institute of Business Administration Karachi
2024
Carnegie Mellon University
2024
Chung-Ang University
2024
Ruhr University Bochum
2024
Central China Normal University
2024
Extreme learning machine (ELM) has attracted attentions in pattern recognition field due to its remarkable advantages such as fast operation, straightforward solution, and strong generalization. However, the performance of ELM for high-dimensional data, hyperspectral image, is still an open problem. Therefore, this paper, we introduce image classification. Furthermore, order overcome drawbacks caused by randomness input weights bias, two new algorithms ensemble extreme machines...
Terrestrial laser scanning (TLS) and mobile (MLS) data can be used to obtain abundant precise side information of trees. Therefore, it enable extracting individual tree parameters, such as the height, crown size, base diameter at breast provide basic for forest research management. This study proposes a technical framework segmenting trees from TLS MLS data. contains six steps: 1) preprocessing, 2) octree construction, 3) spatial clustering, 4) stem detection, 5) initial segmentation, 6)...
Object-based change detection (OBCD) has recently been receiving increasing attention as a result of rapid improvements in the resolution remote sensing data. However, some OBCD issues relating to segmentation high-resolution images remain be explored. For example, units derived using different strategies, scales, feature space, and methods have rarely assessed. In this study, we tested four common unsupervised strategies series scale parameters on two WorldView-2 urban areas. We also...
Satellite-derived bathymetry (SDB) has an extensive prospect in nearshore for its high efficiency and low costs. Atmospheric correction bathymetric modeling are critical processes SDB, examining the performance of related algorithms models will contribute to formulation reliable strategies. This study explored effectiveness three general atmospheric algorithms, namely Second Simulation a Satellite Signal Solar Spectrum (6S), OLI 'lite' (ACOLITE), QUick Correction (QUAC), depth retrieval from...
Abstract Radiation therapy is a first-line treatment for prostate cancer patients with localized tumors. Although some respond well to the treatment, ∼10% of low-risk and up 60% high-risk experience recurrent However, molecular mechanisms underlying tumor recurrence remain largely unknown. Here we show that fractionated ionizing radiation (IR) induces differentiation LNCaP cells into neuroendocrine (NE)-like cells, which are known be implicated in progression, androgen-independent growth,...
A novel approach by integrating multi-view aerial imagery and lidar data is proposed to reconstruct 3D building models with accurate geometric position fine details. First, a new algorithm introduced for determination of principal orientations building, thus benefiting improve the correctness robustness boundary segment extraction in imagery. dynamic selection strategy based on point density analysis K-means clustering then identify segments from non-boundary segments. Second, are determined...
Airborne LiDAR has been traditionally used for power line cruising. Nevertheless, data acquisition with airborne is constrained by the complex environments in urban areas as well multiple parallel structures on same tower, which means it not directly applicable to extraction of lines. Vehicle-borne system its advantages upon and this paper tries utilize vehicle-borne First, points are extracted using a voxel-based hierarchical method geometric features each voxel calculated. Then, bottom-up...
The relationship of gut microbiota and calcium oxalate stone has been limited investigated, especially with no study short chain fatty acids (SCFAs) in nephrolithiasis. We provided Sprague Dawley rats renal stones antibiotics examined the crystals deposition. also performed a case-control by analyzing 16S rRNA microbial profiling, shotgun metagenomics SCFAs 153 fecal samples from non-kidney (NS) controls, patients occasional (OS) recurrent (RS). Antibiotics reduced bacterial load feces could...
Crown volume is an important tree factor used in forest surveys as a prerequisite for estimating biomass and carbon stocks. This study developed method accurately calculating the crown of individual trees from vehicle-borne laser scanning (VLS) data using concave hull by slices method. CloudCompare, open-source three-dimensional (3D) point cloud mesh processing software package, was with VLS to segment which single crowns were extracted identifying first branch tree. The slice thickness...
Renal cell carcinoma is the most common type of malignant kidney tumor and responsible for 14,830 deaths per year in United States. Among four subtypes renal carcinoma, clear has worst prognosis papillary appears to have no potential. Distinction between these two can be difficult due morphologic overlap on examination histopathological preparation stained with hematoxylin eosin. Ancillary techniques, such as immunohistochemistry, helpful, but they are not universally available. We propose...