Yadong Li- PhD
- Zhejiang University
Yadong Li
- PhD
- Zhejiang University
About
6
Publications
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Introduction
Adon Lee currently works at the Department of Earth Science, Zhejiang University. Adon does research in Geoinformatics (GIS), Geography and Geochemistry.
Skills and Expertise
Current institution
Publications
Publications (6)
Vector data is one of the two core data structures in geographic information science (GIS), essential for accurately storing and representing geospatial information. Shapefile, the most widely used vector data format, has become the industry standard supported by all major geographic information systems. However, processing this data typically requ...
The COVID-19 pandemic has had a profound impact on people’s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVID-19 deaths, simulate pandemic prevention scenarios, and quantitatively assess their preventive...
Super-resolution (SR) methods have significantly contributed to the improvement of the spatial resolution of remote sensing (RS) images. The development of deep learning empowers novel methods to learn informative feature representation from massive low-resolution (LR) and high-resolution (HR) image pairs. Conventional RS image SR methods, however,...
Hyperspectral image (HSI) has been an important valuable information source for many remote sensing applications due to its rich spectral information. However, limited by existing imaging system, the spatial resolution of HSI greatly limits its practical applications. In this paper, in order to deal with the challenge of feature extraction and supe...
Hand, foot, and mouth disease (HFMD) is an epidemic infectious disease in China. Its incidence is affected by a variety of natural environmental and socioeconomic factors, and its transmission has strong seasonal and spatial heterogeneity. To quantify the spatial relationship between the incidence of HFMD (I-HFMD) and eight potential risk factors (...
Super-resolution (SR) technology is an important way to improve spatial resolution under the condition of sensor hardware limitations. With the development of deep learning (DL), some DL-based SR models have achieved state-of-the-art performance, especially the convolutional neural network (CNN). However, considering that remote sensing images usua...
