Variability of long-period pulsating stars. II. Additional parameters for classifying stars

Results are presented from an analysis of observations in a sample of 53 long-period pulsating stars (44 of which are Mira-type and 9 are semiregular variables). A catalog of the characteristics of the individual pulsation cycles of the light curves is obtained for these stars. A correlation analysis of the characteristics of the individual pulsation cycles is carried out for each star. A number if diagrams relating the variability of the characteristics of the individual cycles to the average parameters of the variability of the stars and to their spectral classes. New criteria for classifying long-period variables are proposed on the basis of these diagrams. __________ Translated from Astrofizika, Vol. 49, No. 4, pp. 595–612 (November 2006).     

海岸分类的回顾与展望

海岸带是陆地与海洋相交的区域,受到多种自然和人为因素的影响,进行合理的海岸分类对于科学认识、合理开发、有效管理和保护海岸带资源至关重要。本文回顾海岸带分类的研究历程,探讨不同分类方案的划分依据,并强调海岸带的多维性和复杂性。从早期的地理地貌特征划分到现代的综合性海岸分类体系,海岸带分类方案不断演变,并受到各个时代的资料积累、知识体系、观测技术及制图展示效果等方面的深刻影响。不同国家和地区的学者在分类方案上存在一定的差异,体现了各地的地理地质背景、研究重点、开发利用方式等方面的特点,也隐含着研究人员的观察视角。主要源于陆地的物质属性和主要源于海洋的能量条件,越来越成为海岸分类的重要指标。人类活动对海岸带的影响不容忽视,人工海岸的比例已经迅速上升,但在海岸带分类体系中的研究仍有所欠缺,原因包括世界观、方法论和价值观等多个层面。建议从海岸动力作用环境和沉积物供应条件两方面考虑人类活动如何影响海岸带系统状态,而海岸带类别体系里可以增加人工建造和人工改造两个新的大类。通过深化分类方法和细化分类层次,同时向综合与细化两个方向推动海岸分类体系研究,可以更好地实现海岸带资源的保护与可持续利用,促进人与...     

基于随机森林的光子计数激光雷达点云滤波

新一代星载激光雷达卫星ICESat-2首次采用了微脉冲光子计数激光雷达技术,由于单光子探测的灵敏性导致数据在大气和地表下层产生了大量噪声,因此对光子计数激光雷达点云数据实现信号和噪声的分离是开展进一步应用研究的前提和基础。本文选择美国俄勒冈州和弗吉尼亚州2个研究区,采用MATLAS数据,根据光子点云数据的特点构造了12个光子点云特征,对所构造的特征利用随机森林进行变量筛选,用机器学习方法对光子点云进行分类,并将建立好的模型推广到整个研究区。研究结果表明,本文构建的分类器分类总精度达到了96.79%,Kappa系数为0.94,平均生产者精度和用户精度分别为97.1%和96.8%。在相对弱噪声、平坦地形区域和强噪声、复杂地形区域都取得较好的分类结果。本文结果显示了基于少量样本通过机器学习的方法构建模型,可以推广到较大范围区域的光子点云分类应用中。     

Integration of high-resolution imagery and LiDAR data for object-based classification of urban area

This paper investigates the synergistic use of high-resolution multispectral imagery and Light Detection and Ranging (LiDAR) data for object-based classification of urban area. The main contribution of this paper is the development of a semi-automated object-based and rule-based classification method. In the implemented approach, the diverse knowledge about land use/land cover classes are transformed into a set of specialized rules. Further, this paper explores supervised Gaussian Mixture Models for classification, which have been primarily used for unsupervised classification. The work is carried out on test data from two different sites. Contribution of the LiDAR data resulted in a significant improvement of overall Kappa. Accuracy assessment carried out for aforementioned classification methods shows higher overall kappa for both the study sites.     

Variability of Raindrop Size Distribution during a Regional Freezing Rain Event in the Jianghan Plain of Central China

The characteristics of the raindrop size distribution(DSD) during regional freezing rain(FR) events that occur throughout the phase change(from liquid to solid) are poorly understood due to limited observations. We investigate the evolution of microphysical parameters and the key formation mechanisms of regional FR using the DSDs from five disdrometer sites in January 2018 in the Jianghan Plain(JHP) of Central China. FR is identified via the size and velocity distribution measured from a disdrom...     

PS测井在机场隧道地基勘查中的应用

PS测井技术是地震勘探方法之一,也是一种简便、快速、准确的原位测试技术。该文介绍了单孔法PS测井的原理及其在铁路工程勘察中的应用,主要包括根据等效剪切波,进行建筑抗震场地类别划分,铁路工程抗震场地类别划分。根据岩土动力学参数,达到评价岩体质量和划分围岩类别目的,利用剪切波速法估算岩土的承载力基本值。通过青岛机场隧道场地的工程实例说明了PS测井技术在岩土工程勘察设计中的应用情况及应用效果。     

Evaluation of a rule-based compositing technique for Landsat-5 TM and Landsat-7 ETM+ images

Image compositing is a multi-objective optimization process. Its goal is to produce a seamless cloud and artefact-free artificial image. This is achieved by aggregating image observations and by replacing poor and cloudy data with good observations from imagery acquired within the timeframe of interest. This compositing process aims to minimise the visual artefacts which could result from different radiometric properties, caused by atmospheric conditions, phenologic patterns and land cover changes. It has the following requirements: (1) image compositing must be cloud free, which requires the detection of clouds and shadows, and (2) the image composite must be seamless, minimizing artefacts and visible across inter image seams. This study proposes a new rule-based compositing technique (RBC) that combines the strengths of several existing methods. A quantitative and qualitative evaluation is made of the RBC technique by comparing it to the maximum NDVI (MaxNDVI), minimum red (MinRed) and maximum ratio (MaxRatio) compositing techniques. A total of 174 Landsat TM and ETM+ images, covering three study sites and three different timeframes for each site, are used in the evaluation. A new set of quantitative/qualitative evaluation techniques for compositing quality measurement was developed and showed that the RBC technique outperformed all other techniques, with MaxRatio, MaxNDVI, and MinRed techniques in order of performance from best to worst.     

青岛小珠山花岗岩岩石谱系单位划分及其主要特征

青岛小珠山花岗岩体为中生代偏碱性侵入岩,过去通称小珠山岩体,通过15万区域地质填图,将其划分为15个单元,划归为大店和崂山两个超单元.对各单元的岩石学、岩石化学、微量元素及稀土元素特征等进行了分析研究,认为应属A型花岗岩,为燕山晚期之产物.     

基于规范知识的隧道围岩快速分类

总结公路隧道设计规范中的围岩分类知识,运用专家系统技术,开发了一个隧道围岩分类程序SUROC,初步应用于实际工程表明程序可用于公路隧道围岩实时、快速分类。     

济阳坳陷特低渗透油藏地质多因素综合定量分类评价

在定量表征特低渗透油藏开发效果及地质特征的基础上,探讨特低渗透油藏开发效果主控地质因素。应用灰色关联分析法对济阳坳陷特低渗透油藏开展地质多因素综合定量分类评价,形成了一套以开发效果表征特低渗透油藏综合特征、从单井到区块基于灰色关联分析的特低渗透油藏地质多因素综合定量分类评价方法。研究结果表明,济阳坳陷特低渗透油藏主要为滩坝砂、浊积岩、砂砾岩沉积,具有埋藏深度大、粒度细、分选较好、孔喉微细、单层厚度薄、分布零散、比储量丰度低、流动性差的地质特点。定义累积产油差表征开发效果以反映特低渗透油藏综合特征,其主控地质因素为油层厚度层数比、砂岩厚度层数比、平均粒径、采油段中深、渗透率、孔隙度、比储量丰度。通过地质多因素综合定量分类评价,将济阳坳陷特低渗透油藏分为3类：Ⅰ类综合评价分数大于0.6,累积产油差大于4 500,开发效果最好;Ⅱ类综合评价分数0.4~0.6,累积产油差-2 500到4 500,开发效果中等;Ⅲ类综合评价分数小于0.4,累积产油差小于-2 500,开发效果差。利用不同区块已有开发数据检验,分类评价结果与实际生产情况一致性良好。Ⅰ类、Ⅱ类特低渗透油藏应该作为现阶段特低渗透油藏直井、水平井优先开发的对象。