A5023153878- Urban Transport and Accessibility
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Cloud Computing and Resource Management
- Brain Tumor Detection and Classification
- Urban Heat Island Mitigation
- Remote-Sensing Image Classification
- 3D Surveying and Cultural Heritage
- Caching and Content Delivery
- Impact of Light on Environment and Health
- Spatial and Panel Data Analysis
- IoT and Edge/Fog Computing
- Wildlife-Road Interactions and Conservation
- Urban Design and Spatial Analysis
- Remote Sensing and LiDAR Applications
- Regional Economic and Spatial Analysis
- Soil erosion and sediment transport
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Flood Risk Assessment and Management
- Korean Urban and Social Studies
- Soil and Land Suitability Analysis
Xingtai University
2020-2023
Chinese Academy of Sciences
2020-2021
University of Chinese Academy of Sciences
2020-2021
Aerospace Information Research Institute
2020-2021
University of Science and Technology Beijing
2019
Evaluating and exploring regional eco-environmental quality (EEQ), economic development equality (EDE) the coupling coordination degree (CCD) at multiple scales is important for realizing sustainable goals. The CCD can reflect both level interaction relationship of two or more systems. However, relevant previous studies have ignored non-statistical data, lacked multiscale analyses, misused model not sufficiently considered equality. In response to these problems, this study integrated...
Against the background of coordinated development Beijing–Tianjin–Hebei region, it is great significance to quantitatively reveal contribution rate influencing factors urban land for optimizing layout across regions and innovating inter-regional supply linkage. However, interaction effects spatial decomposition have not been well investigated in existing research studies on this topic. In study, based cross-sectional data 2015 using lag model, error model Durbin we analyzed relationship...
Timely and quantitatively evaluating regional eco-environmental quality (EEQ) is of great significance for realizing sustainable development goals. Especially cloudy areas, it was a challenge to construct EEQ dataset with high resolution. However, existing studies failed consider the influence land surface season elements in EEQ. Therefore, this study aimed promote an accurate EEQ-evaluating framework areas. Zhaotong city, typical karst region, chosen as area. First, we integrated...
Ground filtering is an essential step in airborne light detection and ranging (LiDAR) data processing various applications. The cloth simulation (CSF) algorithm has gained popularity because of its ease use advantage. However, CSF limitations topographically environmentally complex areas. Therefore, improved (ICSF) was developed this study. ICSF uses morphological closing operations to initialize the cloth, estimates rigidness for providing a more accurate reference terrain characteristics....
Against the background of coordinated development Beijing–Tianjin–Hebei region (BTH), it is great significance to quantitatively reveal spatiotemporal dynamics urban expansion for optimizing layout land across regions. However, characteristics, types and trends, spatial coevolution (including land, GDP, population) have not been well investigated in existing research studies. This study presents a new measure that describes difference main trend direction. In addition, we also introduce...
The use of remote sensing technology to monitor farmland is currently the mainstream method for crop research. However, in cloudy and misty regions, optical image limited. Synthetic aperture radar (SAR) has many advantages, including high resolution, multi-mode, multi-polarization. Moreover, it can penetrate clouds mists, be used all-weather all-time Earth observation, sensitive shape ground objects. Therefore, widely agricultural monitoring. In this study, polarization backscattering...
Quantitative evaluation of the coupling coordination degree (CCD) between regional haze disaster risk index (HRI) and urbanization development level (UDI) is great significance for realization sustainable goals. Given lack combination remote sensing statistical data to evaluate CCD two systems, Chinese mainland’s 31 provinces autonomous regions were taken their HRI UDI by building systems. Then, an entropy method one improved model used calculate analyze spatiotemporal characteristics during...
In medical image segmentation task, convolutional neural networks (CNNs) are difficult to capture long-range dependencies, but transformers can model the dependencies effectively.However, have a flexible structure and seldom assume structural bias of input data, so it is for learn positional encoding images when using fewer training.To solve these problems, dual branch proposed.In one branch, Mix-Feed-Forward Network (Mix-FFN) axial attention adopted keep translation invariance model.Mix-FFN...
The Internet of Things information service system is a natural evolution existing systems. source multi-source. storage and processing in cloud environment may be distributed entities different regions, or concentrated an center. functional services provided by the can centralized distributed. This study proposes research framework for IoT services, gives general description structure services. entire consists three parts: interface, interface engine flow engine. has following development...