Landsat 8陆地成像仪影像的缨帽变换推导

针对Landsat 8陆地成像仪影像,该文提出了一种缨帽变换系数的推算方法。利用准同步的Landsat ETM+影像缨帽变换结果为目标值,采用普鲁克算法对不同地理分布下的陆地成像仪影像样本点的主成分轴分别进行旋转,得到相应的初始变换系数;通过广义普鲁克分析对所得初始变换系数进行平均化,并以格拉姆-施密特算法保持其正交性,最终得到基于陆地成像仪大气表观反射率数据的缨帽变换系数。验证结果表明,与现有陆地成像仪变换系数相比,该文提出的缨帽变换精度相对较高,误差较小,变换后的不同地物覆盖类型具有更好的可分性。     

煤矿地质成图中多边形快速生成算法

针对煤矿地质成图中左转算法生成多边形在复杂的二维图形条件下应用效率低的问题,该文提出了一种新的基于左转算法的多边形快速选取及自动生成算法,实现了2D图形环境中多边形的快速选取及自动生成。通过在进行多边形选取时的起始点,起始方向的选择和对悬挂点、线进行处理,解决了复杂图形下多边形选取及自动生成过程中存在的重复生成、效率低下和搜索回退问题。基于GeoMS3D实现该算法,实验结果表明:该算法逻辑简单、结构清晰,在实际的应用中表现出了较高的运算效率。     

Grid pattern recognition in road networks using the C4.5 algorithm

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.     

水库群水沙调控的单-多目标调度模型及其应用

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。     

基于峰值因子最大化的鬼波压制方法

针对传统拖缆采集得到的海上地震资料受鬼波影响而导致频带宽度变窄,笔者提出一种去鬼波方法,可以压制鬼波效应,拓宽频带。首先在频率-空间域推导出镜像数据生成公式,并基于峰值因子最大化的参数搜索方法来估计最优的鬼波延迟时间,将最优的鬼波延迟时代入镜像记录生成公式,获得最优的镜像记录,利用联合反褶积算法得到最优的去鬼波结果。将本文中的方法应用于模拟的变深度采集数据和海上实测的变深度采集数据,证实该方法可以有效地压制鬼波,消除频谱中的陷波点,得到宽频数据。     

Structuring velocity model of microseism based on genetic algorithm and Levenberg-Marquardt algorithm

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。     

A parallel algorithm for coverage optimization on multi-core architectures

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.     

基于多源卫星数据的云底高度反演算法在中国近海的应用研究

本文利用直减率反演云底高度的计算方法,联合星载主、被动探测资料开展了中国东海、南海上空暖云云底高度反演研究,同时对暖云的分布特征进行了统计。结果表明受大气层结稳定程度影响,夜间的反演效果优于白天。两种资料的云顶高度较一致时,反演效果好,该方法具有可行性。     

基于不同邻近标签数选择的LANDMARC定位算法研究

对于基于射频识别的LANDMARC室内定位算法而言,该系统采用"k近邻"算法,通过选取k个与待测标签相邻且符合特定条件的参考标签,最后根据这些标签的位置结合权值估算出待测标签的坐标信息.但是在实际的操作过程中,最近邻参考标签数的选取无指导原则,具有一定的盲目性.针对这一问题,通过选取与待定位参考点最近邻的参考节点作为未知点,通过搜索法获得最优的邻近标签数k,在随后的未知节点的定位过程中,选取k个邻近标签进行定位.经过多次实验,最终得出结论,使用改进后的LANDMARC算法的性能要优于原来经典的LANDMARC算法,精确度提升了10%左右,同时避免了k值选取的盲目性.     

基于WRF模式的风电场短期风速集成预报方法研究

风能始源于大气的运动,具有很大的随机性和间歇性。风速预测是风电场风功率预测的基础,其准确性具有重要的意义。对于复杂地形条件下,风速的预报一直是各国研究的难点和重点。为了提高风电场短期风速预报的准确性,本研究采用多种边界层参数化方案来集成预报风速,将各单一边界层参数化方案预报的风速及相应的实测风速数据,应用随机森林算法建立集成预报模型,对风电场的短期风速进行集成预报研究。试验结果表明,采用集成预报风速方法,预报的风速误差相比于单一边界层参数化方案预报的风速误差明显减小,对研究区域的风速、风向等气象要素有着较好的模拟效果,能够有效提高风速预报的准确率。