亚像素定位的关键问题研究

分析了控制点标志的选择与设计,采用了图像处理、Hough变换、角点与直线高精度定位算子等方法,实现了中南大学近景摄影测量二维控制场1 350个人工标志点的自动识别和亚像素定位,仿真图检测平均精度达到±0.05像素。     

数字海图的成果质量评测系统研究

总结归纳了海图要素数据存在的主要质量问题,阐述了评测采用的方法和依据,建立了基于质量评测算子库的海图数据要素检测引擎,初步检测出了海图数据成果质量是否存在问题,存在哪些问题,存在问题的性质、数量、位置,通过对成果的总体质量进行分析评价,最终给出了海图数据成果质量分析检测报告。     

基于SOM的海表温度遥感数据集的EOF算法重构

针对海表温度数据集的数据缺失,提出了一种基于自组织映射算法(SOM)和经验正交函数算法(EOF)有机结合的重构缺失值的新方法。该方法应用了SOM的非线性估计,能够很好的反映数据集的非线性结构,并把SOM估计的结果用于EOF算法的初始化,克服了EOF对数据集初始化敏感的问题。在处理过程中,对奇异值分解使用了lanczos算子分解矩阵,提高了程序运行效率。此外,该方法还引入蒙特卡罗交叉校正集,确定最佳重构的EOF模态数,最终高精度计算出重构误差。使用AQUA遥感卫星海表温度数据进行实验,结果表明该方法能够很好地重构出缺失率高达83.23%的数据集,且重构精度高。     

利用CFP技术解决复杂近地表问题综述

复杂近地表条件会降低地震数据的质量,通常采用基于地表一致性的时移静校正消除其影响.但静校正与速度是密不可分的,而确定复杂近地表速度是非常困难的.基于CFP技术处理复杂近地表问题时避免了对速度的直接操作,使得静校正和速度的确定相互独立.首先根据叠前数据估算出波场的传播算子,然后依据等时原理在DTS模板中进行算子更新,再用这些更新的算子重建基准面和实现近地表单程时间成像.获得正确的算子振幅也是重建基准面的关键.     

模糊化(拓扑)导算子的公理化

将模糊化(拓扑)导算子进行了公理化，并且给出了若干模糊化(拓扑)导算子的刻画；同时建立了模糊化(拓扑)导算子和模糊化(拓扑)闭包算子之间的关系。     

Third order contribution to the wave-making resistance of a ship at finite depth of water

This paper presents a potential based boundary element method for solving a nonlinear free surface flow problem for a ship moving with a uniform speed in finite depth of water. The free surface boundary condition is linearized by the systematic method of perturbation in terms of a small parameter up to third order. The surfaces are discretized into flat quadrilateral elements and the influence coefficients are calculated by Morino's analytical formula. Dawson's upstream finite difference operator is used in order to satisfy the radiation condition. The second order solution gives better result than the first or third order solution. So the present method with the second order solution can be adopted as a powerful tool for the hydrodynamic analysis of the thin ship in finite depth of water.     

海岛礁光学和雷达影像基于改进非子采样小波变换的自动配准

Homologous feature point extraction is a key problem in the optical and synthetic aperture radar （SAR） image registration for islands. A new feature point extraction method using a threshold shrink operator and non-subsampled wavelet transform （TSO-NSWT） for optical and SAR image registration was proposed. Moreover, the matching for this proposed feature was different from the traditional feature matching strategies and was performed using a similarity measure computed from neighborhood circles in low-frequency bands. Then, a number of reliably matched couples with even distributions were obtained, which assured the accuracy of the registration. Application of the proposed algorithm to SPOT-5 （multi-spectral） and YG-1 （SAR） images showed that a large number of accurately matched couples could be identified. Additionally, both of the root mean square error （RMSE） patterns of the registration parameters computed based on the TSO-NSWT algorithm and traditional NSWT algorithm were analyzed and compared, which further demonstrated the effectiveness of the proposed algorithm. The algorithm can supply the crucial step for island image registration and island recognition.     

基于Min-Max算子的遥感影像线状地物提取

将模糊数学中极小-极大算子的概念引入到遥感影像线状地物的半自动提取中。实验结果表明该方法能够有效地克服影像上各种噪声的影响,提取速度较快并具有较强的鲁棒性。     

基于Shearlet变换的非局部均值地震噪声压制

在地震勘探中,由于野外地震数据采集环境及仪器性能本身的限制,采集到地震信号中不可避免地会混入较强的噪声,极大影响后续处理、解释工作。而近几年,多尺度几何分析方法以其独特优势成为压制噪声的研究热点,本文提出在Shearlet域中引入非局部均值算法对地震噪声进行压制,该算法首先对地震信号进行非下采样Shearlet变换,然后采用非局部均值法对分解后系数子集进一步处理,并采用8个Sobel算子近似表示全方向结构,对权重函数进行改进,最后对系数进行Shearlet反变换,得到去噪后的地震信号。实验结果表明相比于传统非局部均值法,该联合算法能有效地压制随机噪声,同时对弱同相轴具有更好的保护作用,在地震资料处理中具有良好的实用性。