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Li D.,Hubei Engineering University
International Journal of Image and Data Fusion | Year: 2010

During the past years, researchers have put forward a large number of change detection techniques for using remotely sensed images and have summarised them from different viewpoints. However, most research has mainly focused on images versus images and 2D change detection; the detection results have been imprecise especially as altitude changes cannot be detected because of the lack of data. As multi-source data can be acquired more and more easily, change detection with multi-source data has become a hot issue. Because change detection with multi-source data can eliminate the effects of the atmosphere and topography and improve the ability to identify and extract objects, more accurate results can be obtained from change detection procedures. This article aims to integrate GIS data with images into applications of change detection. Change detection of linear, area and terrain features based on multi-source data is investigated and change detection based on artificial neural networks (ANN) and GIS data is also analysed. As the powerful GIS functions provide efficient tools for multi-source data processing and change detection analysis, we can expect more research taking this approach as a generic trend in change detection. © 2010 Taylor & Francis. Source


Yu Y.-S.,Hubei Engineering University
Applied Mathematics and Mechanics (English Edition) | Year: 2012

Young's equation is a fundamental equation in capillarity and wetting, which reflects the balance of the horizontal components of the three interfacial tensions with the contact angle (CA). However, it does not consider the vertical component of the liquid-vapor interfacial tension (VCLVIT). It is now well understood that the VCLVIT causes the elastic deformation of the solid substrate, which plays a significant role in the fabrication of the microfluidic devices because of the wide use of the soft materials. In this paper, the theoretical, experimental, and numerical aspects of the problem are reviewed. The effects of the VCLVIT-induced surface deformation on the wetting and spreading, the deflection of the microcantilever, and the elasto-capillarity and electroelasto-capillarity are discussed. Besides a brief review on the historical development and the recent advances, some suggestions on the future research are also provided. © Shanghai University and Springer-Verlag. Source


Yang C.,Hubei Engineering University
Dianwang Jishu/Power System Technology | Year: 2013

Firstly the application requirements of emergency command of smart grid for overall real-time perception, intelligent analysis and multidimensional visualization of environment and operation security of the grid as well as the integrated services with different applications are analyzed in depth, and by use of internet of things (IoT) technology it is proposed to implement genetic algorithm based fault location for distribution network and to implement automatic sensing, identification, tracking and command of deployment and allocation of emergency personnel, goods and materials during overall process. By use of spatial information technologies and integrating with symmetric triangular fuzzy number (STFN), the analog computation of optimal emergency logistics path in emergency logistics is performed, and an emergency resource allocation scheme based on geographic information system (GIS) is established. Based on IoT technology and spatial information technologies, a visual emergency command and support platform, in which the disaster monitoring, early warning, querying and analysis, resource allocation and command and decision-making are integrated, is designed and constructed. Finally, a case of the construction of a grid emergency command system of a certain provincial power company and its practical application effects is analyzed. Source


Gerke M.,University of Twente | Xiao J.,Hubei Engineering University
ISPRS Journal of Photogrammetry and Remote Sensing | Year: 2014

Automatic urban object detection from airborne remote sensing data is essential to process and efficiently interpret the vast amount of airborne imagery and Laserscanning (ALS) data available today. This paper combines ALS data and airborne imagery to exploit both: the good geometric quality of ALS and the spectral image information to detect the four classes buildings, trees, vegetated ground and sealed ground. A new segmentation approach is introduced which also makes use of geometric and spectral data during classification entity definition. Geometric, textural, low level and mid level image features are assigned to laser points which are quantified into voxels. The segment information is transferred to the voxels and those clusters of voxels form the entity to be classified. Two classification strategies are pursued: a supervised method, using Random Trees and an unsupervised approach, embedded in a Markov Random Field framework and using graph-cuts for energy optimization. A further contribution of this paper concerns the image-based point densification for building roofs which aims to mitigate the accuracy problems related to large ALS point spacing.Results for the ISPRS benchmark test data show that to rely on color information to separate vegetation from non-vegetation areas does mostly lead to good results, but in particular in shadow areas a confusion between classes might occur. The unsupervised classification strategy is especially sensitive in this respect. As far as the point cloud densification is concerned, we observe similar sensitivity with respect to color which makes some planes to be missed out, or false detections still remain. For planes where the densification is successful we see the expected enhancement of the outline. © 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Source


Feng C.-F.,Hubei Engineering University
Nonlinear Dynamics | Year: 2010

In this paper, we investigate the projective synchronization between two different time-delayed chaotic systems. A suitable controller is chosen using the active control approach. We relax some limitations of previous work, where projective synchronization of different chaotic systems can be achieved only in finite dimensional chaotic systems, so we can achieve projective synchronization of different chaotic systems in infinite dimensional chaotic systems. Based on the Lyapunov stability theory, we suggest a generic method to achieve the projective synchronization between two different time-delayed chaotic systems. The validity of the proposed method is demonstrated and verified by observing the projective synchronization between two well-known time-delayed chaotic systems; the Ikeda system and Mackey-Glass system. Numerical simulations fully support the analytical approach. © 2010 Springer Science+Business Media B.V. Source

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