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首页> 外文期刊>Advanced Science Letters >The Chronology of Geographic Information System Image Processing: A Case Study for Land Changes at Nusajaya, Iskandar Malaysia
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The Chronology of Geographic Information System Image Processing: A Case Study for Land Changes at Nusajaya, Iskandar Malaysia

机译:地理信息系统图像处理的年表:以马来西亚依斯干达Nusajaya的土地变化为例

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摘要

In the last few years, land demands in Iskandar Malaysia become important issues for stakeholders and town planners. Our study case area is at Nusajaya, Iskandar Malaysia. The motivation and the goal of this paper is to investigate four mathematical modelling in image processing integrate with GIS such as CA-GIS integration, ANN-GIS integration, neural network based cellular automata-GIS and GAC-AOS model. Geographic Information Systems (GISs) is the combination of cartography, statistical analysis and computer science technology. The general GIS have its limitation in modelling changes in the landscape overtime. Integration GIS with CA and ANN, will overcome the drawbacks of GIS. Geodesic Active Contour (GAC) model are used to detect the edges of Nusajaya images. Thus some classical numerical methods (Gauss-Seidel and Jacobi method) are used to solve the system linear of equations and the experimental results demonstrate that the Gauss-Seidel (GS) method gives the best performance compared to Jacobi (JB) method.
机译:在过去的几年中,马来西亚依斯干达的土地需求已成为利益相关者和城市规划者的重要问题。我们的研究案例区域位于马来西亚依斯干达的努沙再也。本文的动机和目标是研究与GIS集成的图像处理中的四个数学建模,例如CA-GIS集成,ANN-GIS集成,基于神经网络的元胞自动机GIS和GAC-AOS模型。地理信息系统(GIS)是制图,统计分析和计算机科学技术的结合。通用GIS在建模景观随时间变化方面存在局限性。将GIS与CA和ANN集成在一起,将克服GIS的缺点。测地线活动轮廓(GAC)模型用于检测Nusajaya图像的边缘。因此,一些经典的数值方法(Gauss-Seidel和Jacobi方法)用于求解方程组的系统线性,实验结果表明,与Jacobi(JB)方法相比,Gauss-Seidel(GS)方法具有最佳性能。

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