Substitution of satellite-based land surface temperature defective data using GSP method

Land surface temperature (LST) as an important environmental variable provides valuable information for earth environmental system modelling. Currently, LST is obtained through satellite thermal sensors at various spatial and temporal resolutions. Although spatially continuous satellite-based LST measurements are intended to overcome the shortcomings of sparse ground-based LST measurements, LST images often contain anomalous values due to the existence of clouds or sensor malfunctioning. The problem becomes more serious where the users deal with high spatial resolution characterized by low temporal resolution. This study examines the capability of a newly developed graph signal processing (GSP) method using two-dimensional single-date thermal data. For this purpose, four Landsat/TIRS datasets are analyzed. The data of five elliptical regions on thermal images are eliminated and then reconstructed through the GSP method and using the LST values of the enclosing rectangles containing the ellipsoids. The results indicate that the temperature variation determined by the GSP method generally conforms to the original image LST values. According to a correlation test conducted on the original image LST and those obtained through the GSP method, the values vary from 58% to 95%, which is an above-the-average rate (RMSE from 0.69 to 2.27). The statistical analysis of the original image LST in both the elliptical regions and the enclosing rectangles containing the ellipsoids indicates that an increase in the variance of LST data causes an increased error in the calculation of temperature by the GSP method, and vice versa. The results of the analysis of variance (ANOVA) and Duncan test indicated that an increase in the number of the non-zero spectral bins would result in increased RMSE values for all the dates and the regions. Moreover, the model errors were significant at the 0.05 level across all the image date and five elliptical study regions. Based on the results, the use of this method is recommended for the reconstruction of LST missing values, where dissimilarity of atmospheric conditions limits the use of other methods that depend on the time series data of various dates and a great deal of data calculation.     

逆向工程的关键技术及其研究

综述了逆向工程中实物数字化技术、测量数据的预处理、曲面重建技术、重构曲面的评价和检验等关键技术的发展现状和存在的问题,并对今后的发展方向进行了讨论。     

飞机外形件三角网格模型光滑B样条曲面重建

综合考虑曲面重建时的拟合精度、曲面片拼接处的连续性和曲面的光顺性等因素,以三角网格模型的双三次B样条曲面重建为例,研究了飞机外形件三角网格模型的分片光滑B样条曲面重建方法。该方法首先采用最小二乘法逼近散乱数据,初步获得分片B样条曲面;然后将光顺准则加权到最小二乘函数中调节曲面光顺程度;最后运用罚函数法保证曲面片边界近似G1连续。将该方法应用于飞机外形件实测数据的曲面重建,误差分析结果验证了方法的有效性。     

基于径向基函数神经网络的自由曲面重构

根据径向基函数神经网络（RBFNN）具有很强的非线性逼近能力的优点，本文采用RBF网络模型进行自由曲面重构，建立了适应于曲面重构的径向基函数网络模型，讨论了基函数对重构曲面连续性的影响，并与多自由曲面重构，建立了适应于曲面重构的径向基函数风络模型，讨论了基函数对重构曲面连续性的影响，并与多层感知器神经网络的性能进行对比。理论分析和仿真实验结果表明：常用的几种径向基函数重构的曲面都具有很好的连续性，径向基函数网络用于曲面重构，不论是在拟合精度，还是网络的训练速度都明显优于多层感知器网络，具有一定的实用价值。     

Prompt effects of solar wind variations on the inner magnetosphere and midlatitude ionosphere

It is well known that the solar wind can significantly affect high-latitude ionospheric dynamics. However, the effects of the solar wind on the middle- and low-latitude ionosphere are much less studied. In this paper, we report observations that large perturbations in the middle- and low-latitude ionosphere are well correlated with solar wind variations. In one event, a significant (20–30%) decrease of the midlatitude ionospheric electron density over a large latitudinal range was related to a sudden drop in the solar wind pressure and a northward turning of the interplanetary magnetic field, and the density decrease became larger at lower latitudes. In another event, periodic perturbations in the dayside equatorial ionospheric E × B drift and electrojet were closely associated with variations in the interplanetary electric field. Since the solar wind is always changing with time, it can be a very important and common source of ionospheric perturbations at middle- and low-latitudes. The relationship between solar wind variations and significant ionospheric perturbations has important applications in space weather.     

2000年4月6-8日磁暴期间电离层TEC观测研究

利用北京、乌鲁木齐、武汉GPS观测数据计算的垂直总电子含量，分析了发生于2000年4月6-8日磁暴期间观测区域的电离层状态。结果表明，在4月7日北京时间0200-0700之间，在中、低纬地区出现了较弱的电离层负相暴，与前一日相比，最大TEC之差在-8TECU左右；在北京时间0700之后，在较高纬度地区开始出现强列的电离层负相暴，并且该负相暴随着时间逐渐增强；但在北京时间0700-0900之间，在低纬地区出现了电离层正相暴。在定时间内较高纬度地区的负相暴逐渐增强并向南移动而低纬地区的正相暴经历了增强到减弱的过程。     

对流层特大暴雨天气对电离层变化的影响

研究气象活动对电离层变化的影响．利用时序叠加方法，通过对1958-1998年期间发生在武汉的5次特大暴雨天气事件对武汉上空电离层变化的影响进行分析，发现：(1)特大暴雨能够引起低电离层，fbEs和，f0Es参量较明显地减小；(2)特大暴雨对电离层F区寻常波描迹的最低虚高h′F和电离层等效峰高hpF的参量也有一定影响，且随着雨量的增大这种影响作用也会增加；(3)特大暴雨对电离层其他参量影响甚弱或没有影响．本文认为，特大暴雨天气事件对电离层的影响主要来自于动力过程，特别是特大暴雨激发的或相伴的大气重力波、潮汐波和行星波等长周期大尺度过程的作用．     

1958年7月8日磁暴的电离层响应

本文用遍布全球的52个电离层垂测台站资料,研究1958年7月8日磁暴期间全球电离层扰动的发展变化;各扇区的响应特性;扰动的传播轨迹及速度等。获得以下结果:1.几大扇区的电离层扰动始于南北两极,美洲扇区除具这一特征外,其赤道地区在磁暴急始后不久,出现一个扰动中心,邻近区域的扰动受其控制。2.扰动由高纬向低纬发展,由扰动中心向外传播。3.扰动峰面几乎与地磁力线垂直,即扰动沿磁力线方向发展,其传播速度大约在150—600m/s范围。     

发动机孔探图像三维测量与立体重建的实现

作为一种新兴的可视探测技术，孔探成像分析在现代发动机故障诊断中一直发挥着重要的作用。研制和开发基于孔探图像的三维测量与立体重建系统对提高故障诊断水平和预测准确度，降低工作中的人力物力投入，节约维护成本都有着重要的现实意义。本文以整体系统的构架为线索，阐述了系统的图像采集，摄像机标定，图像预处理，立体匹配，3D计算以及深度重建等功能模块的研制思路和基本算法，并给出部分研制结果。本系统的开发为基于也探图像的发动机故障监测与诊断系统的奠定了重要的基础。