A5012163895- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Optical measurement and interference techniques
- Satellite Image Processing and Photogrammetry
- Remote Sensing in Agriculture
- Coastal and Marine Dynamics
- Robotics and Sensor-Based Localization
- Remote Sensing and Land Use
- COVID-19 epidemiological studies
- Coastal and Marine Management
- Underwater Acoustics Research
- Atmospheric aerosols and clouds
- Remote-Sensing Image Classification
- Advanced Optical Sensing Technologies
- Advanced Neural Network Applications
- Water Quality Monitoring Technologies
- Advanced Image Fusion Techniques
- Atmospheric chemistry and aerosols
- COVID-19 diagnosis using AI
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Image Enhancement Techniques
- Agriculture, Soil, Plant Science
- Leaf Properties and Growth Measurement
- Image and Object Detection Techniques
- Astro and Planetary Science
Shanghai Ocean University
2018-2024
Ministry of Natural Resources
2023
Guangzhou Marine Geological Survey
2023
Shanghai Estuarine & Coastal Science Research Center
2021-2023
Zhoushan Hospital
2022
Tongji University
2012-2020
Shanghai Institute of Technical Physics
2012-2014
Chinese Academy of Sciences
2014
Anhui University of Science and Technology
2012
This paper presents a practical framework for the integration of unmanned aerial vehicle (UAV) based photogrammetry and terrestrial laser scanning (TLS) with application to open-pit mine areas, which includes UAV image TLS point cloud acquisition, processing integration, object-oriented classification three-dimensional (3D) mapping monitoring areas. The proposed was tested in three areas southwestern China. (1) With respect extracting conjugate points stereo pair images those between clouds...
The semantic labeling of the urban area is an essential but challenging task for a wide variety applications such as mapping, navigation, and monitoring. rapid advance in Light Detection Ranging (LiDAR) systems provides this with possible solution using 3D point clouds, which are accessible, affordable, accurate, applicable. Among all types platforms, airborne platform LiDAR can serve efficient effective tool large-scale mapping area. Against background, large number algorithms methods have...
Forest canopy height is an important indicator of the forest ecosystem, and accurate assessment on a large scale great significance for resource quantification carbon sequestration. The retrieval based remote sensing provides possibility studying ecosystems. This study proposes new method estimating sensing. In this method, GEDI satellite ICESat-2 satellite, which are different types space-borne lidar products, used to cooperate with Landsat 9 image SRTM terrain data, respectively. Two...
The COVID-19 pandemic is currently spreading widely around the world, causing huge threats to public safety and global society. This study analyzes spatiotemporal pattern of in China, reveals China’s epicenters through spatial clustering, delineates substantial effect distance Wuhan on spread. results show that daily new cases mostly occurred before March 6, then moved Grand Bay Area (Shenzhen, Hong Kong Macau). total China were mainly distributed east Huhuanyong Line, where accounted for...
Ocean surveying is of great significance to mankind's development and utilization the ocean. Island reef area an important part ocean mapping. The Ice, Cloud land Elevation Satellite-2 (ICESat-2) has been proven have a certain bathymetric capability. However, precise extraction seafloor signal photons in these regions remains challenge. This study introduces method for extracting that water depth adaptive works at various depths. In addition, we propose evaluate ICESat-2 by underwater...
The atmosphere over the ocean is an important research field that involves multiple aspects such as climate change, atmospheric pollution, weather forecasting, and marine ecosystems. It of great significance for global sustainable development. Satellites provide a wide range measurements aerosol optical properties are very to study characteristics ocean. In this study, depth (AOD) data from seventeen AERONET (Aerosol Robotic Network) stations were used benchmark comprehensively evaluate...
Underwater object detection, as the principal means of underwater environmental sensing, plays a significant part in marine economic, military, and ecological fields. Due to degradation problems images caused by color cast, blurring, low contrast, we proposed model for detection based on YOLO v7. In presented model, an enhanced image branch was constructed expand feature extraction YOLOv7, which could mitigate issues existing original images. The contextual transfer block introduced branch,...
Abstract The monitoring of a progressive collapse test structure model has always been technical issue in civil engineering. This paper proposes novel videogrammetric approach to monitor single‐layer lattice shell, which consists three main parts: A videogrammetry system with six high‐speed cameras is established measure the morphological changes shell. specific artificial target designed and experimentally tested obtain location every node centre on 3D displacements centres can be...
Target detection in offshore unmanned aerial vehicle data is still a challenge due to the complex characteristics of targets, such as multi-sizes, alterable orientation, and backgrounds. Herein, YOLO-based model (YOLO-D) was proposed for target data. Based on YOLOv3 network, residual module improved by establishing dense connections adding dual-attention mechanism (CBAM) enhance use features global information. Then, loss function YOLO-D added weight coefficients increase accuracy small-size...
The research on urban innovation links is of great significance for revealing the structural characteristics space. At same time, it formulating regional development strategies. Based statistics from 2008, 2013 and 2018, time spatial contact network evolution in Henan Province were investigated using entropy weight gravity-model method. results show that overall pattern radial, with a “core edge”. It shows radiates to surrounding cities Zhengzhou as core. From perspective evolution,...
This paper investigated the application of UAV-based photogrammetry for accurate 3D mapping in mine areas. The workflow was proposed, including ground control network design, image acquisition, and information extraction, accuracy evaluation. In processing, methods geo-referencing, DTM/DOM generation, ortho-image generation were discussed. end, evaluation conducted. experimental results showed that low-altitude is fully able to meet actual needs, has good potential large scale three...
Laminated rubber bearings are widely used for the mitigation of seismic damage large-scale structures and equipment. However, owing to flexibility in horizontal direction, traditional contacted transducer is difficult acquire displacement data accurately three directions, respectively. In this paper, three-dimensional measurement laminated bearing based on shaking table achieved by use a tri-camera high-speed videogrammetric system consisting complementary-metal-oxide-semiconductor (CMOS)...
Segmentation of island waterline contributes to shoreline movement analyzing, environmental monitoring, and integrated coastal zone management. To achieve high efficiency accuracy segmentation in remote sensing images, we proposed a model for based on DANet (DANet-SMIW). In DANet-SMIW model, different indexes (NDWI OTSU) were taken as new channels added input dataset, which enhanced waterline's spectral information. backbone network was improved by dense connection DenseNet. Loss function,...
Horizontal and vertical distributions of aerosol properties in the Taklimakan Desert (TD), North central region China (NCR),North Plain(NCP), Yangtze River Delta (YRD) were investigated by statistical analysis using Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observation (CALIPSO) L3 data from 2007 to 2020, identify similarities differences atmospheric aerosols different regions, evaluate impact pollution control policies developed 2013 on study area. The optical depth (AOD)...
Introduction The study on the distribution characteristics of suspended sediment concentration (SSC) in estuaries is an important subject and coasts, which has theoretical significance practical value. Methods In order to fully understand SSC Yangtze River Estuary its adjacent waters, this paper uses fixed vertical observation data navigation type large area as sources analyze waters under different tidal current states profile characteristics. It discusses impact velocity changes from 2018...
Abstract The geometry and calibration of three-dimensional multi-beam laser scanning (MBLS) is more difficult than single-beam scanning, especially for a one emitter multiple laser-echo detection within the same optical path with two-axis-mirror. This paper focuses on influence main systematic errors upon geometric imagery MBLS, presents plane-based self-calibration method to improve positioning. First, model imaging MBLS presented, adjustment developed. Second, simulated conducted find...
Geometric correction without ground control points (GCPs) is a very important topic. Conventional airborne photogrammetry difficult to implement in areas where the installation of GCPs not available. The technical integrated GPS/INS systems providing positioning and attitude potential solution such areas. This paper first states principle geometric based on combination GPS INS then error Pushbroom Hyperspectral Imager (PHI) GCP was analysed, flight test carried out an area Damxung, Tibet....
Abstract In large‐scale block adjustment of high‐resolution satellite imagery (HRSI) without ground control points (GCPs), the selection virtual (VCPs) is an important factor in determining accuracy. The traditional VCP generation method based on a regular grid and uses initial rational polynomial coefficient (RPC) files but considering topographic factors. To further improve accuracy, this paper proposes approach for optimal VCPs with planar constraints, which ensures that are mostly areas...
The distribution of the surface suspended sand concentration (SSSC) in Yangtze River estuary is extremely complex. Therefore, effective methods are needed to improve efficiency and accuracy SSSC inversion. Hyperspectral remote sensing technology provides an technical means accurately monitoring quantitatively inverting SSSC. In this study, a new framework for accurate inversion using hyperspectral proposed. First, we simulated water bodies with different SSSCs sediment samples from estuary,...
Chlorophyll-a (Chl-a) concentration is a key indicator for assessing the eutrophication level in water bodies. However, accurately inverting Chl-a concentrations optically complex coastal waters presents significant challenge traditional models. To address this, we employed Sentinel-2 MSI sensor data and leveraged power of five machine learning models, including convolutional neural network (CNN), to enhance inversion process near Hong Kong. The CNN model demonstrated superior performance...