Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

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基于概念分析的空间数据挖掘研究进展

空间数据挖掘的过程与空间概念形成和分析的过程密切相关.本文以空间数据中抽取出各层次、各粒度的概念为主线,以概念形成和分析的形式化理论--概念格和云模型为理论基础,总结了基于概念分析的空间数据挖掘方法及应用,包括概念格的空间关联规则挖掘方法及应用、概念格的概念聚类挖掘方法及应用、云模型的空间关联规则挖掘方法及应用、云模型的空间聚类/分类挖掘方法及应用等.概念格提供了一种形式化的概念描述和概念结构分析的理论和方法,云模型提供了一种综合处理模糊性、随机性以及二者之间关联性的不确定性理论和方法,利用概念格、云模型等形式化的理论和方法分析和描述空间数据挖掘过程中空间概念的形成、空间概念的结构关系、空间概念之间以及空间概念层次之间的不确定性是概念分析的空间数据挖掘研究的进一步的研究方向.     

无线VPN技术在数字前兆台网中的应用

VPN技术提供了一种通过公用网络安全地对企业内部专用网络进行远程访问的连接方式。介绍了VPN的技术和原理,并以湖北省数字前兆台网为例,提出了一种无线VPN技术的连接设置方式。它具有运行成本低、使用方便、无线发送、有线接入等特点。     

春晓气田泥岩垮塌测井数据校正及应用

由于存在部分泥岩井眼垮塌,东海春晓气田测井曲线砂泥岩阻抗部分叠置。针对这一现象,采用未垮塌段泥岩伽马与密度拟合关系校正垮塌段泥岩密度,声波时差经本区伽德那公式拟合后求取。通过泥岩垮塌测井数据校正前后对比、直方交会、岩石物理、正演及反演效果分析,认为校正后的测井数据比较真实地反映垮塌段扩径泥岩地层特征,储层与围岩波阻抗差异明显,为储层反演、砂体空间展布分析提供了有力依据。     

高频电力线信息传输的电机模型与仿真

研究在电机驱动系统中,电力线通信的建模问题,着重讨论在高频时电机输入阻抗的特性下,电机模型的建立.通过实验测量得到电机和电力线在频率100 kHz～40 MHz的输入阻抗特性曲线,并分析高频输入阻抗的谐振特点.在Matlab中,提出基于阻抗公式的分析法、最小均方值误差估计法以及最优化方法进行模型的参数识别,将得到的参数代入模型中可以得到电机的阻抗模型.电机模型的精确度可以通过仿真曲线和测量曲线的逼近程度看出,从结果看仿真得到的阻抗曲线跟实际测量的阻抗曲线走向基本一致.     

Tidal current observation in the southern Yellow Sea in the summers of 2001 and 2003

Direct current observations in the Yellow Sea interior are very scarce due to intense fishing and trawling activities. Most previous studies on tides in the area were based on coastal measurements or satellite altimeter sea levels and have not been rigorously compared with direct measurements. In this paper, tidal currents are studied with current profiles from three bottom-moored Sontek Acoustic Doppler Profilers （ADPs） deployed in the southern Yellow Sea in summer of 2001 and 2003. The measured current series were dominated by tidal currents. Maximum velocities are between 40-80 cm/s at the mooring stations. M2 current is the most dominant primary tidal constituent, while MS4 and M4 are the most significant shallow water tides with much smaller amplitudes than the primary tides.     

基于AJAX的数据分页的设计与实现

针对传统数据分页存在用户等待时间较长的问题,提出一种基于AJAX的数据分页方法,并成功地在设备管理系统的查询模块上得到应用,实际应用的结果表明,在现有的Web应用中采用AJAX技术,能减轻服务器压力,提高系统的响应速度,减少用户的等待时间。首先对比了传统Web和标准AJAX的交互过程,接着介绍了A-JAX概念及核心技术,同时给出了结合AJAX和J2EE技术实现数据分页的例子。     

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国土资源数据管理初探

在分析国土资源数据及其管理特点的基础上,基于国土资源信息化和数据资源保护,将国土资源数据整体上分为资料数据、基础数据、业务数据、管理数据和元数据5类,提出了各类数据进行计算机管理的组织方法和采用的相关技术。