Jianwei Ding
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View article: Information Dissemination Model Based on Social Networks Characteristics
Information Dissemination Model Based on Social Networks Characteristics Open
As a crucial platform, online social networks provide individuals with avenues to exchange ideas and access information, exerting profound impacts on society and nations. In social networks, key users, serving as edge nodes in the process …
View article: Prisma: Legal Challenges in Protecting Personal Information in Big Data Environments
Prisma: Legal Challenges in Protecting Personal Information in Big Data Environments Open
View article: Legal Challenges in Protecting Personal Information in Big Data Environments
Legal Challenges in Protecting Personal Information in Big Data Environments Open
View article: Prediction of soil organic matter by Kubelka-Munk based airborne hyperspectral moisture removal model
Prediction of soil organic matter by Kubelka-Munk based airborne hyperspectral moisture removal model Open
Obtaining high-precision soil organic matter (SOM) spatial distribution information is of great significance for applications such as precision agriculture. But in the current hyperspectral SOM inversion work, soil moisture greatly influen…
View article: Double U-Net (W-Net): A change detection network with two heads for remote sensing imagery
Double U-Net (W-Net): A change detection network with two heads for remote sensing imagery Open
Recently, the deep learning algorithms have been increasingly utilized in remote sensing change detection. However, incomplete buildings and the blurred edges caused by the complex scenes in change detection applications make the detection…
View article: A novel semi-empirical soil multi-factor radiative transfer model for soil organic matter estimation based on hyperspectral imagery
A novel semi-empirical soil multi-factor radiative transfer model for soil organic matter estimation based on hyperspectral imagery Open
Soil organic matter (SOM) concentration is an important factor affecting soil quality, and rapid and wide-scale monitoring of SOM concentration is a key step toward sustainable agriculture. Hyperspectral technology is widely used in soil c…
View article: A semi-analytical radiative transfer model for explaining soil spectral features
A semi-analytical radiative transfer model for explaining soil spectral features Open
Spectral techniques play a key role in the estimation of large-scale soil parameters, but most of the current estimation models are data-driven models lacking a physical basis. Therefore, in this study, we developed a novel radiative trans…
View article: Hyperspectral Feature Selection for SOM Prediction Using Deep Reinforcement Learning and Multiple Subset Evaluation Strategies
Hyperspectral Feature Selection for SOM Prediction Using Deep Reinforcement Learning and Multiple Subset Evaluation Strategies Open
It has been widely certified that hyperspectral images can be effectively used to monitor soil organic matter (SOM). Though numerous bands reveal more details in spectral features, information redundancy and noise interference also come ac…
View article: A high-resolution feature difference attention network for the application of building change detection
A high-resolution feature difference attention network for the application of building change detection Open
View article: Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism
Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism Open
Visible and near-infrared (Vis-NIR) reflectance is an effective way to estimate soil heavy metal content. In this study, in order to magnify the spectral information of the soil heavy metals and solve the collinearity and redundancy of hyp…
View article: Optical, Acoustic and Electromagnetic Vulnerability Detection for Information Security
Optical, Acoustic and Electromagnetic Vulnerability Detection for Information Security Open
The information interaction between the air-gapped internal network and the external Internet is only possible through authorized and strictly controlled methods. Attackers make use of the vulnerability to transmit information covertly by …
View article: Case Investigation Technology Based on Artificial Intelligence Data Processing
Case Investigation Technology Based on Artificial Intelligence Data Processing Open
Through data mining technology, the hidden information behind a large amount of data is discovered, which can help various management services and provide scientific basis for leadership decision‐making. It is an important subject of curre…
View article: Improved cascade forest deep learning model for hyperspectral imagery classification
Improved cascade forest deep learning model for hyperspectral imagery classification Open
高光谱遥感技术在环境监测、应急保障、精细地物提取等方面有着广泛的应用,随着高分五号高光谱数据的正式发布,高光谱遥感技术将发挥更重要的作用。遥感影像分类作为高光谱遥感影像信息处理的重要部分,已成为当前研究重点。本文针对传统多级联森林深度学习中模型复杂、无法利用基分类器差异信息、对类间差异较小的样本无法正确区分等不足,提出了一种改进的多级联森林深度学习模型,在模型框架中,分别采用了随机森林和旋转森林作为基分类器,并引入逻辑回归分类器作为判别器用于训练层扩展。相较于传统的深度神经…
View article: Application of Police Drones in Road Traffic Management
Application of Police Drones in Road Traffic Management Open
Using uavs to carry out road traffic management work aims at remote monitoring of regional traffic, passenger flow monitoring and early warning, expulsion of illegal stop and so on, participate in the handling of traffic accidents, public …
View article: Detecting Toe-Off Events Utilizing a Vision-Based Method
Detecting Toe-Off Events Utilizing a Vision-Based Method Open
Detecting gait events from video data accurately would be a challenging problem. However, most detection methods for gait events are currently based on wearable sensors, which need high cooperation from users and power consumption restrict…
View article: Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China
Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China Open
With the exploitation of coalfields, the eco-environment around the coalfields can become badly damaged. To address this issue, “mine greening” has been proposed by the Ministry of Land and Resources of China. The sustainable development o…
View article: Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring Open
Ground surface subsidence is a universal phenomenon in coal mining areas which can cause serious damage to the surrounding environment. In this paper, we consider the use of differential interferometric synthetic aperture radar (D-InSAR), …
View article: An efficient depth map preprocessing method based on structure-aided domain transform smoothing for 3D view generation
An efficient depth map preprocessing method based on structure-aided domain transform smoothing for 3D view generation Open
Depth image-based rendering (DIBR), which is used to render virtual views with a color image and the corresponding depth map, is one of the key techniques in the 2D to 3D conversion process. Due to the absence of knowledge about the 3D str…
View article: Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis
Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis Open
Condition monitoring systems are widely used to monitor the working condition of equipment, generating a vast amount and variety of telemetry data in the process. The main task of surveillance focuses on analyzing these routinely collected…
View article: Research on the Flows of Big Data Processing Technology
Research on the Flows of Big Data Processing Technology Open
The data exploration in the 21st century has brought about the "Big Data era".Big data[1] has characteristics of Volume, Variety, Velocity and Value, comparing with the conventional data.Volume and Velocity have been studied and discussed,…