Longitudinal behaviors of the IRI-B parameters of the equatorial electron density profiles retrieved from FORMOSAT-3/COSMIC radio occultation measurements

The electron density profiles in the bottomside F₂-layer ionosphere are described by the thickness parameter B0 and the shape parameter B1 in the International Reference Ionosphere (IRI) model. We collected the ionospheric electron density (N_e) profiles from the FORMOSAT-3/COSMIC (F3/C) radio occultation measurements from DoY (day number of year) 194, 2006 to DoY 293, 2008 to investigate the daytime behaviors of IRI-B parameters (B0 and B1) in the equatorial regions. Our fittings confirm that the IRI bottomside profile function can well describe the averaged profiles in the bottomside ionosphere. Analysis of the equatorial electron density profile datasets provides unprecedented detail of the behaviors of B0 and B1 parameters in equatorial regions at low solar activity. The longitudinal averaged B1 has values comparable with IRI-2007 while it shows little seasonal variation. In contrast, the observed B0 presents semiannual variation with maxima in solstice months and minima in equinox months, which is not reproduced by IRI-2007. Moreover, there are complicated longitudinal variations of B0 with patterns varying with seasons. Peaks are distinct in the wave-like longitudinal structure of B0 in equinox months. An outstanding feature is that a stable peak appears around 100°E in four seasons. The significant longitudinal variation of B0 provides challenges for further improving the presentations of the bottomside ionosphere in IRI.     

Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas

Urban land cover information extraction is a hot topic within urban studies. Heterogeneous spectra of high resolution imagery—caused by the inner complexity of urban areas—make it difficult. In this paper a hierarchical object oriented classification method over an urban area is presented. Combining QuickBird imagery and light detection and ranging (LIDAR) data, nine kinds of land cover objects were extracted. The Spectral Shape Index (SSI) method is used to distinguish water and shadow from black body mask, with 100% classification accuracy for water and 95.56% for shadow. Vegetation was extracted by using a Normalized Difference Vegetation Index (NDVI) image at first, and then a more accurate classification result of shrub and grassland is obtained by integrating the height information from LIDAR data. The classification accuracy of shrub was improved from 85.25% to 92.09% and from 82.86% to 97.06% for grassland. More granularity of this classification can be obtained by using this method. High buildings and low buildings can, for example, be distinguished from the original building class. Road class can also be further classified into roads and crossroads. The comparison of the classification accuracy between this method and the traditional pixel-based method indicates that the total accuracy is improved from 69.12% to 89.40%.     

机上无线局域网用户行为分析

随着无线网络的普及,用户的上网行为分析已经成为各单位提高服务质量、增长收益的重要途径。概述了Web日志挖掘的相关概念、方法和步骤。针对机上无线局域网的用户访问行为,对用户访问日志进行预处理,由日志中的旅客座位信息所关联到的旅客基本信息来确定旅客类别,通过计算分析用户的访问兴趣度,最终得出不同类别旅客的访问兴趣分布。     

Using S-band dual polarized radar for convective/stratiform rain indexing and the correspondence with AMSR-E GSFC profiling algorithm

The separation of rain types in convective and stratiform regimes has long been a goal in microwave remote sensing of precipitation research. In this essence, a dual polarized radar based indexing scheme that provides information on convective and stratiform (C/S) rain regimes has been presented in correspondence with advanced microwave scanning radiometer – earth observing system (AMSR-E) GSFC profiling algorithm estimate of convective rain percentage. The dual polarized radar based C/S indexing scheme first retrieves the normalized gamma drop size distribution parameters, median volume drop diameter (D₀) and concentration parameter (N_w), from dual polarized radar measurements Z_H and Z_DR, representing reflectivity and differential reflectivity respectively, by means of the genetic programming approach. Next, the C/S rain index is calculated based on the formulation of an empirical relation in N_w–D₀ domain. The scheme has been inspected and applied on measurements from the S-band Chilbolton dual polarized radar. A considerable number of “coincident” cases from the radar and the AMSR-E observations are investigated. It has been revealed that the dual polarized radar based C/S rain indexing is in a similar pattern with the AMSR-E GSFC profiling algorithm estimate of convective rain percentage. Generally, as C/S rain index value increases, which signifies a stratiform to convective trend, the AMSR-E convective rain percentage also increases.     

应用小波神经网络进行负荷预测的MATLAB编程仿真

以咸阳地区的电力负荷数据为背景,应用小波神经网络进行短期负荷预测工作,并详细介绍了其MATLAB的编程与仿真。利用MATLAB 7.0的神经网络及小波工具箱函数进行编程仿真,不仅编程简洁,而且收敛速度快。因需要大量的训练数据进行训练,介绍了在实际编程时所用技巧。     

Softmax分类器深度学习图像分类方法应用综述

基于深度学习的人工智能图像分类方法研究是当前计算机视觉领域的研究热点。面向深度学习中的Softmax图像分类方法,首先回顾了图像分类技术的发展历程,接着介绍了图像识别技术中的分类器,并解释了Softmax回归函数的分类实现原理。基于Softmax回归分类器的应用,详细阐述了多种图像分类技术,具体包括浅层神经网络、深度置信网络、深度自编码器和卷积神经网络。同时,对比介绍了各种级联模型的具体结构、训练方法、实际应用、分类效果以及优缺点。最后,从Softmax回归分类器、深度学习网络模型和高维数据分类三个方面对基于Softmax回归分类器的深度学习模型在图像分类方面的发展与应用前景进行了展望。     

基于深度学习算法的极化合成孔径雷达通用分类器设计

地物分类是PolSAR(极化合成孔径雷达)的重要应用方向。传统算法需要基于特定数据人工选取特征和设计分类器,而深度学习算法能够自行从海量数据中提取层次化特征。在深度学习算法总结的基础上,结合深度学习和PolSAR大数据,提出了一种高效率、高精度的通用分类器设计方法。使用人工标记的数据训练CNN(深度卷积网络),自动化地进行特征学习和提取,并实现高精度的地物自动分类。在具有不同分辨率的机载和星载PolSAR数据上对通用分类器进行测试,都能快速、准确地分类。研究成果可快速将PolSAR数据转译为更直观的地物分类结果,对海量数据,特别是GF-3卫星PolSAR图像的利用有一定的辅助价值。     

多测速系统应答信标数据实时分类算法

为了提高目标轨迹解算的稳定性,针对多测速系统在应答模式下的测量数据分类问题,提出了一种新的实时分类算法。首先分析了现有方法的缺陷;其次设计了一种能够将应答数据、信标数据与异常数据进行分类的新算法。该算法的关键是选择适当的分类参考,采用目标理论轨迹与已经分类的历史测量数据等2种分类参考相结合的方法,以适应不同的应用情形;最后,利用2类主站配置模式下的典型实测数据对新算法进行验证,结果表明新算法能够将3类数据正确分类。在此基础上,解算出的实时轨迹平稳且连续,测量数据的利用率明显提高。因此新分类算法的性能优于现有方法,对改善其他测量系统中的实时数据分类效果也具有借鉴意义。     

人工智能气动特性预测技术在火箭子级落区控制项目的应用

发展了一种基于人工智能算法的气动特性预测技术,在开展部分工况风洞试验基础上,结合少量数值仿真结果,通过机器学习模型预测全部工况气动特性.该方法能够降低研制成本,缩短周期.先后解决了相关函数选择、模型超参数训练、数据检验和"人在回路"应用等关键算法与技术问题,应用于运载火箭子级栅格舵落区控制项目气动研制,获得了设计所需完...     

卫星通信水情遥测系统

阐述卫星通信自报式与呼叫式水情遥测系统的组成、功能、工作原理并简要介绍在水情遥测系统中采用海事卫星通信的优点。