The Ground Process Segment of SAR Altimeter

The key innovation technology of SAR Altimeter (Synthetic Aperture Radar Altimeter)are Doppler\|beam sharpen and delay/Doppler range compensation.The cooperation of these two technologies makes it has high along track resolution and high precision in height measurement.The ground processor is the key hinge to make sure that SAR altimeter could obtain these superiorities.Many key technologies for SAR altimeter processor,such as Doppler beam\|sharpen,delay/Doppler compensation and the second range correction,multilook,echo model and gradient function for retracker,are introduced in the paper.Based on the processor and related work,some simulation work and airborne experiment were tested by the processor,and both of the quantity results show that the SAR altimeter has more potential superiorities.     

Exploring the wild birds’ migration data for the disease spread study of H5N1: a clustering and association approach

Knowledge about the wetland use of migratory bird species during the annual life circle is very interesting to biologists, as it is critically important in many decision-making processes such as for conservation site construction and avian influenza control. The raw data of the habitat areas and the migration routes are usually in large scale and with high complexity when they are determined by high-tech GPS satellite telemetry. In this paper, we convert these biological problems into computational studies and introduce efficient algorithms for the data analysis. Our key idea is the concept of hierarchical clustering for migration habitat localizations, and the notion of association rules for the discovery of migration routes from the scattered location points in the GIS. One of our clustering results is a tree structure, specially called spatial-tree, which is an illusive map depicting the breeding and wintering home range of bar-headed geese. A related result to this observation is an association pattern that reveals a high possibility that bar-headed geese’s potential autumn migration routes are likely between the breeding sites in the Qinghai Lake, China and the wintering sites in Tibet river valley. Given the susceptibility of geese to spread H5N1, and on the basis of the chronology and the rates of the bar-headed geese migration movements, we can conjecture that bar-headed geese play an important role in the spread of the H5N1 virus at a regional scale in Qinghai-Tibetan Plateau.     

多现场总线接口智能仪表设计

在不同现场总线的产品共存的自动化系统中,如何使新兴智能仪表与原有现场设备或未来更新设备在通信方面相兼容,已经成为一个现实问题.为此,提出了智能仪表中多现场总线接口技术.从硬软件方面研究了智能仪表中MODBUS、PROFIBUS和CANBUS三种现场总线通信接口,重点分析了设计中的关键问题,并结合电工仪表产品实现了三种现...     

一种基于码本聚类的低复杂度用户选择算法

现有块对角化(BD)预编码系统用户选择算法较少考虑利用已选用户与剩余用户之间的关系来排除不可选用户.针对这点不足,给出了一种采用码本聚类的低复杂度用户选择算法( CodeGreedy算法).该算法采用弦距离刻画用户信道的相关性,以此为依据将用户划分到不同码本空间中,聚集在同一码本空间的用户信道具有较强的相关性,形成互斥...     

基于NetCDF的数据交换平台研究

针对异构海洋观测数据交互困难的问题,提出基于NetCDF的海洋观测数据交换格式,定义海洋观测数据交互规范,实现海洋观测数据灵活装载和随机访问。基于此,设计海洋观测数据交换平台框架,通过分层架构模式实现海洋观测数据用户"一站式"访问。最后,开发原型系统加以验证。     

一种新的指纹图像合成分割法

在研究和分析传统方差法和最大类间方差法的基础上,提出了一种传统方差法和最大类间方差法相结合的分块处理分割算法。该算法首先求出整个指纹图像的方差,然后计算每一子块的方差。若方差小于整个图像的方差则用方差法对图像进行分割,否则用最大类间方差法进行分割。最后再对图像进行平滑处理。实验结果表明,相对于传统分割方法,该方法无需根据经验选取阈值,能较准确地分割出前景和背景,抗噪能力强,对高对比度和低对比度的图像均具有很好的分割效果。     

一种优化初始聚类中心的K-means聚类算法

针对K-means算法中的初始聚类中心是随机选择这一缺点进行改进,利用提出的新算法选出初始聚类中心,并进行聚类。这种算法比随机选择初始聚类中心的算法性能有所提高,具有更高的准确性。     

基于GIS的CATV分配网正反向设计功能的研究与应用

文章简要介绍了基于地理信息系统的有线电视分配网辅助设计系统的特点,提出了用虚拟单分支传递链解决多分支传递链应用问题的方法并获得成功应用。     

网络时代知识产权犯罪问题研究及其对策

侵犯知识产权是互联网上一股来势凶猛的暗流!使传统的刑事法律受到挑战,迫切需要相关各界作出及时回应,从意识、法律和技术上加以遏制,以保护知识产权人的权利,进而维护全社会的科学技术和文学艺术的进步.     

市政设施管理信息系统的面向对象设计与实现

根据对面向对象分析,设计与建模及可复用构件理论的研究,结合在软件开发中的实践经验,采用当前面向对象领域最为流行的统一建模语言进行系统的建模,开了一套科学,的“市政设施管理系统”从而使得市政部门能迅速掌握市政设施的基本情况,产能及时,准确地作出科学的决策。