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101.
102.
Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks. 相似文献
103.
Hot spot detection with satellite images, especially with synthetic aperture radar (SAR) images is still a challenging task. Several researchers have used TM/optical data for identification of hot spot but the use of SAR data is very limited for this type of application. The fusion of SAR data with TM/optical data may add additional information which in turn will lead for enhancement of detection capability of the hot spot. Therefore, this study explores the possibility of fusion of Moderate Resolution Imaging Spectroradiometer (MODIS) and Phased Array L-band Synthetic Aperture Radar (PALSAR) satellite images for the hot spot detection. Image fusion is emerging as a powerful tool where information of various sensors can be used for obtaining better results. For this purpose, vegetation greenness and roughness information which is obtained from MODIS and PALSAR satellite images, respectively, are used for fusion, and then, a contextual-based thresholding algorithm is applied to the fused image for hot spot detection. The proposed approach comprises of two steps: (1) application of genetic algorithm-based scheme for image fusion of MODIS and PALSAR satellite images, and (2) classification of the fused image as either hot spot or non-hot spot pixels by employing a contextual thresholding technique. The algorithm is tested over the Jharia Coal Field region of India, where hot spot is one of the major problems and it is observed that the proposed thresholding technique classifies the each pixel of the fused image into two categories: hot spot and non-hot spot and the proposed approach detects the hot spot with better accuracy and less false alarm. 相似文献
104.
为缓解内蒙古河段"二级悬河"形势,以黄河上游沙漠宽谷河段为研究对象,以龙羊峡水库、刘家峡水库为调控主体,开展黄河上游水沙调控研究。建立了输沙量、发电量最大的单目标模型以及多目标模型;分别采用自迭代模拟算法、逐次逼近动态规划算法(DPSA)和改进的非支配排序遗传优化算法(NSGA-Ⅱ)求解模型;设置了初始、常规、优化和联合优化4种方案。通过实例计算,联合优化调度方案的区间总冲刷量达到了0.38亿t,梯级发电量148.22亿kW·h。该方案以较小的电量损失换来了输沙量的大幅度增加,水沙调控效果显著,推荐为最优方案。研究成果量化了水沙调控效果和各目标间的转化规律,为开展黄河上游水沙调控提供了决策依据,具有重要的应用价值和实际指导意义。 相似文献
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106.
为在射孔时间未知条件下达到微震速度模型矫正的目的,采用遗传算法交叉互换搜索最优初值和 Levenberg-Marquardt 算法局部锁定最优解的方式来构建微震速度模型。通过 6 层层状模型及井下不同数量检波器进行试算,随着检波器数量增加,构建的速度模型准确度越高,当检波器数量增加到 20 个时,误差约 13. 4 ×10 -3 ,目的层检波器数量越多,构建目的层速度误差越小,第 5 层检波器由 1 增加到 3 个时,精度提高 9. 1 ×10 -3 ,并且反演震源与实际震源距离相差 10 m,说明此方法在射孔时间未知条件下可以良好构建速度模型。 相似文献
107.
Ran Wei Alan T. Murray 《International journal of geographical information science》2016,30(3):432-450
Location siting is an important part of service provision, with much potential to impact operational efficiency, safety, security, system reliability, etc. A class of location models seeks to optimize coverage of demand for service that is continuously distributed across space. Decision-making and planning contexts include police/fire resource allocation for a community, siting cellular towers to support cell phone signal transmission, locating emergency warning sirens to alert the public of severe weather and other related dangers, and many others as well. When facilities can be sited anywhere in continuous space to provide coverage to an entire region, this is a very computationally challenging problem to solve because potential demand for service is everywhere and there are an infinite number of potential facility sites to consider. This article develops a new parallel solution approach for this location coverage optimization problem through an iterative bounding scheme on multi-core architectures. The developed approach is applied to site emergency warning sirens in Dublin, Ohio, and fire stations in Elk Grove, California. Results demonstrate the effectiveness and efficiency of the proposed approach, enabling real-time analysis and planning. This work illustrates that the integration of cyberinfrastructure can significantly improve computational efficiency in solving challenging spatial optimization problems, fitting the themes of this special issue: cyberinfrastructure, GIS, and spatial optimization. 相似文献
108.
109.
基于改进K-SVD字典学习方法的地震数据去噪 总被引:2,自引:0,他引:2
为实现更好的地震数据去噪技术,笔者引入一种新的算法:快速迭代收缩阀值法(FISTA),通过FISTA和K-奇异值分解(K-SVD)不断迭代更新K-SVD字典,利用更新得到的K-SVD字典对地震数据进行稀疏表示,去除稀疏系数中较小的数值,使数据中的随机噪声得到压制。对层状模型合成地震记录,Marmousi模型合成地震记录以及实际地震数据进行对比实验,得出FISTA算法较OMP算法能更好地提高地震数据的信噪比,同时有效地保护了反射信号。 相似文献
110.
梯度作为标量场在空间上最重要的微观变化特征,能较好地反映其在空间上的变化趋势。本文介绍了中心差分算子、相邻梯度因子和Sobel梯度算子三种梯度数值算法。以点电荷在三维空间中产生的电势场构造了一标量场,通过理论公式求解了其梯度值,并将理论梯度值与三种数值算法的结果进行了对比与统计分析,验证了三种梯度数值算法的有效性和适用性。结果表明,排除场源的影响后,Sobel梯度算子相较其它两种数值算法更逼近于理论梯度值。最后,利用Sobel梯度算子求取了某铜矿区可控源音频大地电磁法(CSAMT)三维视电阻率场的梯度场,用梯度场刻画了视电阻率在空间上的变化趋势,提高了对三维地下空间的电性分布规律和地质情况的认识。 相似文献