Donglai Jiao
YOU?
Author Swipe
View article: Geometry and Topology Preservable Line Structure Construction for Indoor Point Cloud Based on the Encoding and Extracting Framework
Geometry and Topology Preservable Line Structure Construction for Indoor Point Cloud Based on the Encoding and Extracting Framework Open
The line structure is an efficient form of representation and modeling for LiDAR point clouds, while the Line Structure Construction (LSC) method aims to extract complete and coherent line structures from complex 3D point clouds, thereby p…
View article: Development of a Multifunctional Unmanned Boat Platform for Aquaculture Automation
Development of a Multifunctional Unmanned Boat Platform for Aquaculture Automation Open
To reduce labor costs in aquaculture and enhance the level of automated management, this study designed and developed a multifunctional unmanned boat platform (UBP) by integrating technologies such as sensors, satellite positioning, and ar…
View article: Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction
Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction Open
Current 5G communication services have limitations, prompting the development of the Beyond 5G (B5G) network. B5G aims to extend the scope of communication to encompass land, sea, air, and space while enhancing communication intelligence a…
View article: Urban road surface condition detecting and integrating based on the mobile sensing framework with multi-modal sensors
Urban road surface condition detecting and integrating based on the mobile sensing framework with multi-modal sensors Open
The urban road surface condition, encompassing elements such as road surface damages and facility distributions, which collectively refers to bump features of road surface (BFRS), is critical for road maintenance and management in smart ci…
View article: The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering
The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering Open
The three-dimensional model of geographic elements serves as the primary medium for digital visualization. However, the original point cloud model is often vast and includes considerable redundant data, resulting in inefficiencies during t…
View article: A Hybrid CNN-Transformer Network for Object Detection in Optical Remote Sensing Images: Integrating Local and Global Feature Fusion
A Hybrid CNN-Transformer Network for Object Detection in Optical Remote Sensing Images: Integrating Local and Global Feature Fusion Open
Remote sensing images (RSIs) object detection is important in natural disaster management, urban planning and resource exploration. However, due to the large differences between RSIs and natural images (NIs), most of the existing object de…
View article: Bump Feature Detection Based on Spectrum Modeling of Discrete-Sampled, Non-Homogeneous Multi-Sensor Stream Data
Bump Feature Detection Based on Spectrum Modeling of Discrete-Sampled, Non-Homogeneous Multi-Sensor Stream Data Open
Roads are the most heavily affected aspect of urban infrastructure given the ever-increasing number of vehicles needed to provide mobility to residents, supply them with goods, and help sustain urban growth. An important indicator of degra…
View article: Urban Road Surface Condition Sensing from Crowd-Sourced Trajectories Based on the Detecting and Clustering Framework
Urban Road Surface Condition Sensing from Crowd-Sourced Trajectories Based on the Detecting and Clustering Framework Open
Roads play a crucial role in urban transportation by facilitating the movement of materials within a city. The condition of road surfaces, such as damage and road facilities, directly affects traffic flow and influences decisions related t…
View article: XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees
XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees Open
Carbon dioxide (CO2) is currently the most harmful greenhouse gas in the atmosphere. Obtaining long-term, high-resolution atmospheric column CO2 concentration (XCO2) datasets is of great practical significance for mitigating the greenhouse…
View article: Spatial Downscaling of GPM Satellite Precipitation Data Using Extreme Random Trees
Spatial Downscaling of GPM Satellite Precipitation Data Using Extreme Random Trees Open
Obtaining precise and detailed precipitation data is crucial for analyzing watershed hydrology, ensuring sustainable water resource management, and monitoring events such as floods and droughts. Due to the complex relationship between prec…
View article: Aerosol Optical Depth Retrieval for Sentinel-2 Based on Convolutional Neural Network Method
Aerosol Optical Depth Retrieval for Sentinel-2 Based on Convolutional Neural Network Method Open
Atmospheric aerosol significantly affects the climate environment and public health, and Aerosol Optical Depth (AOD) is a fundamental optical characteristic parameter of aerosols, so it is important to develop methods for obtaining AOD. In…
View article: Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO
Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO Open
Global climate models (GCMs) are the state-of-the-art tool for understanding climate change and predicting future. However, little research has been reported on the latest NEX-GDDP-CMIP6 product in China. The purpose of this study was to e…
View article: Evaluation of MODIS DT, DB, and MAIAC Aerosol Products over Different Land Cover Types in the Yangtze River Delta of China
Evaluation of MODIS DT, DB, and MAIAC Aerosol Products over Different Land Cover Types in the Yangtze River Delta of China Open
The Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) has been widely used in atmospheric environment and climate change research. Based on data of the Aerosol Robotic Network and Sun–Sky Radiometer Observat…
View article: Bump feature detection of the road surface based on the Bi-LSTM
Bump feature detection of the road surface based on the Bi-LSTM Open
The road network is the basic facility for transportation systems in the city. Every day, a large number of vehicles move on the road and exert different pressure on the ground, which leads to various problems for the road surface, such as…
View article: Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset
Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset Open
Three-dimensional (3D) city modeling is an essential component of 3D geoscience modeling, and window detection of building facades plays a crucial role in 3D city modeling. Windows can serve as structural priors for rapid building reconstr…
View article: Bump Features Detection of the Road Surface Based on the Bi-LSTM
Bump Features Detection of the Road Surface Based on the Bi-LSTM Open
The dataset of the research.
View article: Medium- and Long-Term Precipitation Forecasting Method Based on Data Augmentation and Machine Learning Algorithms
Medium- and Long-Term Precipitation Forecasting Method Based on Data Augmentation and Machine Learning Algorithms Open
Accurate medium and long-term precipitation forecasting plays a vital role in disaster prevention and mitigation and rational allocation of water resources. In recent years, there are various methods for medium- and long-term precipitation…
View article: Super-resolution reconstruction of a digital elevation model based on a deep residual network
Super-resolution reconstruction of a digital elevation model based on a deep residual network Open
The digital elevation model (DEM) is an important basic data tool applied in geoscience applications. Because of its high cost and long development cycle of enhancing hardware performance, designing the related models and algorithms to imp…
View article: Water Quality Monitoring System Based on LoRa
Water Quality Monitoring System Based on LoRa Open
In recent years, global water pollution problems have become increasingly serious, and work to control and protect the water environment has become increasingly important. In order to achieve real-time monitoring of water quality throughou…
View article: The Architecture of Middleware for Real-time Sensor Data Sharing
The Architecture of Middleware for Real-time Sensor Data Sharing Open
With the development of Internet of Things technology, the era of the Internet of Everything is getting closer and closer to us. People use a variety of applications combined with sensors to greatly improve social productivity. There is al…
View article: Real-Time Visualization of Geo-Sensor Data Based on the Protocol-Coupling Symbol Construction Method
Real-Time Visualization of Geo-Sensor Data Based on the Protocol-Coupling Symbol Construction Method Open
Obtaining and visualizing the internal state and position information of the remote device using sensors are important aspects of industrial manufacturing. For large-scale geo-sensors that have been recently used, map-based management and …
View article: A New Map Symbol Design Method for Real-Time Visualization of Geo-Sensor Data (Short Paper)
A New Map Symbol Design Method for Real-Time Visualization of Geo-Sensor Data (Short Paper) Open
Maps are an excellent way to present data with spatial components. For the large-scale geo-sensors being utilized in recent years, the map-based management and visualization of geo-senor data have become ubiquitous. Without a doubt, managi…