Study of Three-Dimensional Virtual Simulation System Based on Aerial Photography Image Information

Author(s):  
Zhang Yi ◽  
Mu Sihui
2013 ◽  
Vol 8 (5) ◽  
Author(s):  
Yicun Hua ◽  
Yongsheng Ding ◽  
Kuangrong Hao ◽  
Yanling Jin

Author(s):  
Athanasios Donas ◽  
Ioannis Famelis ◽  
Peter C Chu ◽  
George Galanis

The aim of this paper is to present an application of high-order numerical analysis methods to a simulation system that models the movement of a cylindrical-shaped object (mine, projectile, etc.) in a marine environment and in general in fluids with important applications in Naval operations. More specifically, an alternative methodology is proposed for the dynamics of the Navy’s three-dimensional mine impact burial prediction model, Impact35/vortex, based on the Dormand–Prince Runge–Kutta fifth-order and the singly diagonally implicit Runge–Kutta fifth-order methods. The main aim is to improve the time efficiency of the system, while keeping the deviation levels of the final results, derived from the standard and the proposed methodology, low.


2015 ◽  
Vol 135 (5) ◽  
pp. 667-671 ◽  
Author(s):  
Florian Radetzki ◽  
B. Saul ◽  
A. Hagel ◽  
T. Mendel ◽  
T. Döring ◽  
...  

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 951-960
Author(s):  
Haiqing Zhang ◽  
Jun Han

Abstract Traditionally, three-dimensional model is used to classify and recognize multi-target optical remote sensing image information, which can only identify a specific class of targets, and has certain limitations. A mathematical model of multi-target optical remote sensing image information classification and recognition is designed, and a local adaptive threshold segmentation algorithm is used to segment multi-target optical remote sensing image to reduce the gray level between images and improve the accuracy of feature extraction. Remote sensing image information is multi-feature, and multi-target optical remote sensing image information is identified by chaotic time series analysis method. The experimental results show that the proposed model can effectively classify and recognize multi-target optical remote sensing image information. The average recognition rate is more than 95%, the maximum robustness is 0.45, the recognition speed is 98%, and the maximum time-consuming average is only 14.30 s. It has high recognition rate, robustness, and recognition efficiency.


1995 ◽  
Vol 28 (7) ◽  
pp. 931-947 ◽  
Author(s):  
Michel Jordan ◽  
Jean-Pierre Cocquerez

2009 ◽  
Vol 419-420 ◽  
pp. 697-700
Author(s):  
Yan Yan Chang ◽  
Qing Xin Meng ◽  
He Chun Wang

Underwater interfacing technique is the key technique of the underwater vehicle. Now the technique is mainly used in the submarine rescue. Based on the structural characteristics of the model of BSAV-Ⅰand the interfacing apparatus with the manipulators which are made by Harbin Engineering University, a group of equations were defined and solved based on the six freedom motion of the model. The software Creator and Vega were used to build virtual ocean geographic environment and the deep submergence rescue vehicle(DSRV), the virtual simulation system is created,with which the virtual simulation of the docking process of DSRV and the disable marine is done. Except this, the research on simulation system of the interfacing apparatus of the underwater vehicle based on VR can test the docking strategy, find the problems in docking and improve the structure of the interfacing apparatus.


2014 ◽  
Vol 543-547 ◽  
pp. 3402-3405
Author(s):  
Ling Lu

The design and realization of virtual simulation environment for non-lethal weapon system is presented. Besides the system architecture and design conception, several key problems and our solutions when developing a virtual simulation system, such as OpenGL based on dynamic geometry modeling, scene organization, and interaction are discussed.


1999 ◽  
Author(s):  
Takeo Asano ◽  
Hiroshi Matsuzaki ◽  
Akito Saito ◽  
Yukihiko Furuhashi ◽  
Yuichiro Akatsuka ◽  
...  

Abstract Practical use of medical simulation system with virtual reality technology is expected because of the learning of the operation procedure. We have therefore developed a neurosurgical simulation system for minimally invasive surgery. Our system is composed of PC and one or two haptic interfaces. Operator can pick up the region of interest to specify the disease portion from DICOM format image data, then three-dimensional model have made by volume and surface rendering with this data. In the next step, system estimates and indicates on CRT the minimally invasive path from the head surface to the disease target that was picked up beforehand by this system which retains healthy human’s three-dimensional atlas data. Finally, the operator can perform a virtual surgery operation by the haptic interface that has been connected to PC, and can cut off an exact or approximate portion of the disease. The operator can feel the resistance from this virtual object. This operation process can be recorded for medical doctors to review later.


2020 ◽  
Author(s):  
Yan-Kai Zhang ◽  
En-Yi Yu ◽  
Di Zheng ◽  
Jia-Xiang Zhang ◽  
Wen-Jin Sun ◽  
...  

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