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结合人眼对亮度、色度、对比度以及运动目标的感知特性,提出了一种基于人眼对视频内容感知的视频质量客观评价方法。该方法将视频分为空域和时域信息分别描述,并利用人眼感知特性,从视频的亮度、色度、对比度以及目标运动4个方面提取特征,计算其强度。然后以人眼对比度敏感值作为强度的权重因子求和,构建人眼感知视频内容模型。最后,分别以此模型模拟人眼感知源视频和失真后的视频,计算每对应单元的所有像素之间和运动矢量之...
非线性系统分析的核心归结为系统状态方程的求解问题，对于一般非线性控制系统，通过引入由状态量、控制量与自变量时间坐标构成的“广义状态空间”，在广义状态空间一点将方程的右端展开为时间的Taylor级数，进一步直接积分获得非线性控制系统状态方程关于自变量时间的级数解.以球型机器人这种存在耦合的非线性系统为例，设计一种自适应滑模控制器，利用本文提出的解法得出了控制量与输出量的解析解，并仿真验证了方法的正确...
Determination of Facade Attributes for Facade Reconstruction
data analysis facade modelling Markov Chain
2015/12/4
In the last years more and more applications make use of 3d building models. Automatic reconstruction is essential for the acquisition and updating of the huge amount of data. For many applications it...
基于组合Morlet小波的数字滤波器设计
信号处理 数字滤波 滤波器设计 组合Morlet小波
2015/12/3
针对数字滤波器设计问题，利用Morlet小波在时域、频域都具有良好集中性的特点，以及傅里叶变换的尺度、线性、频移特性，研究了一种通过多个具有不同中心频率的Morlet小波时域叠加，在频域构建出平顶滤波器的方法；结果表明：基于组合Morlet小波的数字滤波器设计方法易于理解和编程实现，通过合理选择设计参数可快速设计出所需的高性能滤波器。
基于Contourlet域高阶统计量的图像隐写分析
隐写分析 Contourlet分解 隐马尔科夫树模型 支持向量机
2015/12/3
分析了小波高阶统计量在隐写分析应用中存在的缺陷，将更能表现图像细部特征的Contourlet分解引入隐写分析，并采用能完整刻画Contourlet系数相关性的隐马尔科夫树模型，提出了基于Contourlet域高阶统计量的隐写分析方法；该方法在Contourlet域提取高阶统计量作为特征，使用支持向量机进行训练和分类；实验结果表明：该方法能有效地检测是否包含有秘密信息。
基于CAN总线的发动机电控系统检测设备设计
CAN总线 故障诊断 数据采集 信号调理
2015/12/3
针对发动机电控系统自动检测问题，设计了一种基于CAN总线的自动测试设备；整体设计基于嵌入式设计思想，逻辑划分采用适配器与上位机测试软件的设计形式，实现了检测硬件资源复用；利用CAN总线进行数据传送，提高了测量与控制的精确度，减少了传送误差；综合运用了小波变换与模式识别技术进行故障诊断，具有快速故障定位能力和拓扑适应能力；应用表明：该系统能够较好地适用于现代大型装备发动机电控系统的维修保障，使用方便...
ISO/OGC Standards Impact on Next Generation Enterprise Spatial Platform
Standards Interoperability Specifications Decision Support Information Development Integration
2015/12/3
The geospatial industry has finally caught up to the need for standardization required to manage the large amount of data and time consuming processes the community deals with constantly. The use of c...
A Fuzzy-based Method for Remote Sensing Image Contrast Enhancement
Image Processing Colour Interpretation Fuzzy Logic
2015/12/3
Many conventional contrast enhancement techniques adopt a global approach to enhance all the brightness level of the image. However, it is usually difficult to enhance all land cover classes appearing...
Cartographic maps can only contain a certain amount of information. If the information density is too high, the map becomes hard to comprehend for a human viewer. A common solution for this problem is...
Integration of High Resolution Quicbird Images to GoogleEarth
Image Processing Information Content Image Understanding
2015/12/2
As known, at the present time, remote sensing technologies are being improved and year by year, by launching new satellites whose image taking configurations are improved with new techniques, images c...
Ontology Development for Interoperability of Observation Data
Database Terminology Data Mining Global-Environmental-Databases Interoperability
2015/12/2
The Ontology registry system is developed to collect, manage and compare ontological information for integrating global observation data. Data sharing and data service such as support of metadata deig...
The Study of Integration of Digital City Planning Data Based on the Ontology
Ontology Digital Urban Planning Data Integration Multi-sources and Heterogeneous Data
2015/12/2
The problem of integration of multi-sources and heterogeneous data has been the hot spot in the domain of spatial information technology. This paper analyzed the advantages and feasibility of using on...
Cloud Model and Hierarchical Clustering based Spatial Data Mining Method and Application
Cloud Model Hierarchical Clustering Data Mining Weather Classification
2015/12/2
The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values...
Knowledge Discovery by Spatial Clustering Based on Self-Organizing Feature Map and a Composite Distance Measure
Self-Organizing Feature Map Spatial Clustering Knowledge Discovery Data Mining
2015/12/2
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
A Novel Vector Field Data Mining Approach: Extraction of Front Based on Physical Features of Target
Vector Field Data Mining Physical Feature Front Extraction Fuzzy Clustering
2015/12/2
The explosive growing of earth observing data needs to have relative efficient data processing methods. This paper aims at the processing and analysis of large volume of vector field data acquiring fr...