A5059684983- Data Management and Algorithms
- Geological Modeling and Analysis
- Geographic Information Systems Studies
- Transportation Planning and Optimization
- 3D Modeling in Geospatial Applications
- Human Mobility and Location-Based Analysis
- Geophysics and Gravity Measurements
- Climate variability and models
- Advanced Computational Techniques and Applications
- Urban Transport and Accessibility
- Oceanographic and Atmospheric Processes
- Traffic Prediction and Management Techniques
- Air Quality and Health Impacts
- Marine and coastal ecosystems
- Tensor decomposition and applications
- Complex Network Analysis Techniques
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Computational Geometry and Mesh Generation
- Digital Image Processing Techniques
- Tropical and Extratropical Cyclones Research
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Advanced Database Systems and Queries
- Statistical and numerical algorithms
Nanjing Normal University
2016-2025
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2016-2025
Universitat Pompeu Fabra
2025
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
2025
Barcelona Institute for Global Health
2025
Wenzhou Medical University
2025
Anhui University
2025
University of Nevada, Reno
2024
Nanjing Institute of Geography and Limnology
2006-2024
Chinese Academy of Sciences
2023-2024
Currently, the different deep neural network (DNN) learning approaches have done much for classification of hyperspectral images (HSIs), especially most them use convolutional (CNN). HSI data characteristics multidimensionality, correlation, nonlinearity, and a large amount data. Therefore, it is particularly important to extract deeper features in HSIs by reducing dimensionalities which help improve both spectral spatial domains. In this article, we present spatial–spectral algorithm, local...
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Current development of Pakistan's economy, transportation and industry with the improvement urbanization, environmental pollution problems have gradually become prominent, but this is contrary to people's vision pursuing a high-quality life. Now problem haze, photochemical in air, global warming already key issue concern. This focused on ambient air quality Lahore city Pakistan. The study reveals that particulate matter season (PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
With the widespread use of color images, copyright protection those images using watermarks is one latest research topics. The as has advantages over binary and irreplaceable grayscale images. Color are intuitive, rich, lively; they have large amounts information more easily recognized by human vision. To improve security watermark embedding positions algorithm's robustness against various attacks, a Quaternion Fourier transform (QFT) based algorithm, on Arnold chaotic encryption, proposed...
It has been two decades since virtual geographic environments (VGEs) were initially proposed. While relevant theories and technologies are evolving, data organization models have always the foundation of VGE development, they require further exploration. Based on comprehensive consideration characteristics VGEs, scene is proposed to organize information data. We empirically find that provides a suitable schema support geo-visualization, geo-simulation, geo-collaboration. To systematically...
With the increasing demand for multidimensional data processing, Geometric algebra (GA) has attracted more and attention in field of geographical information systems. GA unifies generalizes real numbers complex, quaternion, vector algebra, converts complicated relations operations into intuitive independent coordinate It also provides a solution solving processing with high correlation among dimensions avoids loss information. Traditional methods computer vision artificial intelligence (AI)...
Edge detection is widely used for image processing to improve the and classification of objects, segmentation, extraction other features. Satellite images are rich in information about objects with different color intensity have a large amount noise, so it difficult achieve recognition, classification, feature small through traditional edge algorithms. The colors satellite suffer from overlap due areas or weather conditions that generate lot noise. provides detailed an by reducing...
Accessibility research of healthcare facilities is developing towards multiple transportation modes (MTM), which are influenced by residential choices and preferences. Due to differences in travel impact factors such as traffic conditions, origin location, distance the destination, economic cost, residents’ daily presents different mode (RTMC). The purpose our study was measure spatial accessibility based on MTM considering RTMC (MTM-RTMC). We selected gravity two-step floating catchment...
Abstract Introducing Clifford algebra as the mathematical foundation, a unified spatio‐temporal data model and hierarchical index are constructed by linking basic objects, like pointclouds Spatio‐Temporal Hyper Cubes of different dimensions, within multivector structure algebra. The transformation from geographic space into homogeneous conformal means that geometric, metric many other kinds operators can be implemented we then design shortest path, high‐dimensional Voronoi spatial‐temporal...
Quantitative measurement of the heterogeneity in intensity human interference is key to accurately assessing impact activity. The same activities different landscape configurations should have impacts. This study constructed a weighted analysis describe and measure under Hemeroby index model framework, based on gradient structures coastal patterns dynamic changes patterns. Shenzhen's 2015 was selected as case for this method. results showed that meaning more information with clearer details....
Assessing the trade network connectivity is essential for understanding structure, optimizing development patterns, and improving uneven along “Belt Road” (BRI). From perspective of connectivity, this paper integrates frontier algorithms in science constructs an analytical framework to identify mesoscale structures, including community core-periphery backbone structure embedded network, further explore structural BRI network. The results show that: (1) represents a pattern “one superpower,...