An optimal extraction algorithm for imaging photometry     

Tim Naylor 《Monthly notices of the Royal Astronomical Society》1998,296(2):339-346

This paper is primarily an investigation of whether the 'optimal extraction' techniques used in CCD spectroscopy can be applied to imaging photometry. It is found that using such techniques provides a gain of around 10 per cent in signal-to-noise ratio over normal aperture photometry. Formally, it is shown to be equivalent to profile fitting, but offers advantages of robust error estimation, freedom from bias introduced by mis-estimating the point spread function, and convenience. In addition some other techniques are presented, which can be applied to profile fitting, aperture photometry and the 'optimal' photometry. Code implementing these algorithms is available at http://www.astro.keele.ac.uk/~timn/.  相似文献   

Non-parametric reconstruction of distribution functions from observed galactic discs     

C. Pichon  & E. Thiébaut 《Monthly notices of the Royal Astronomical Society》1998,301(2):419-434

A general inversion technique for the recovery of the underlying distribution function for observed galactic discs is presented and illustrated. Under the assumption that these discs are axisymmetric and thin, the proposed method yields a unique distribution compatible with all the observables available. The derivation may be carried out from the measurement of the azimuthal velocity distribution arising from positioning the slit of a spectrograph along the major axis of the galaxy. More generally, it may account for the simultaneous measurements of velocity distributions corresponding to slits presenting arbitrary orientations with respect to the major axis. The approach is non-parametric, i.e. it does not rely on a particular algebraic model for the distribution function. Special care is taken to account for the fraction of counter-rotating stars, which strongly affects the stability of the disc. An optimization algorithm is devised — generalizing the work of Skilling &38; Bryan — to carry this truly two-dimensional ill-conditioned inversion efficiently. The performance of the overall inversion technique with respect to the noise level and truncation in the data set is investigated with simulated data. Reliable results are obtained up to a mean signal-to-noise ratio of 5, and when measurements are available up to 4  R _e. A discussion of the residual biases involved in non-parametric inversions is presented. The prospects of application of the algorithm to observed galaxies and other inversion problems are discussed.  相似文献   

Automated classification of stellar spectra — II. Two-dimensional classification with neural networks and principal components analysis     

Coryn A. L. Bailer-Jones  Mike Irwin  & Ted von Hippel 《Monthly notices of the Royal Astronomical Society》1998,298(2):361-377

We investigate the application of neural networks to the automation of MK spectral classification. The data set for this project consists of a set of over 5000 optical (3800–5200 Å) spectra obtained from objective prism plates from the Michigan Spectral Survey. These spectra, along with their two-dimensional MK classifications listed in the Michigan Henry Draper Catalogue, were used to develop supervised neural network classifiers. We show that neural networks can give accurate spectral type classifications (σ₆₈= 0.82 subtypes, σ_rms= 1.09 subtypes) across the full range of spectral types present in the data set (B2–M7). We show also that the networks yield correct luminosity classes for over 95 per cent of both dwarfs and giants with a high degree of confidence.   Stellar spectra generally contain a large amount of redundant information. We investigate the application of principal components analysis (PCA) to the optimal compression of spectra. We show that PCA can compress the spectra by a factor of over 30 while retaining essentially all of the useful information in the data set. Furthermore, it is shown that this compression optimally removes noise and can be used to identify unusual spectra.   This paper is a continuation of the work carried out by von Hippel et al. (Paper I).  相似文献   

西南极菲尔德斯半岛地壳形变监测的数据处理与分析          下载免费PDF全文

陈春明  鄂栋臣  邱卫宁 《极地研究》1998,10(1):74-79

为了研究南极现代地壳运动,中国在西南极菲尔德斯海峡地区布设了形变监测网,并用ＤＩ－２０测距仪和ＧＰＳ定位仪对该网进行了监测。同时,中国也参加了ＳＣＡＲ组织的全南极ＧＰＳ联测。本文讨论了将形变参数纳入误差方程的水平形变数据处理方法,并对刚体平移、旋转、均匀应变几种典型形变模型在测边网平差中的运用进行了讨论。通过对经典自由网与秩亏自由网的基准分析,提出对形变参数以及其它附加参数和点位参数分别给定参考基准的方法。相应于上述方法,编制了一系列数据处理程序并将之应用于对西南极菲尔德斯海峡形变监测网的数据分析。本文还利用监测网应变分析原理,对ＧＰＳ监测数据进行了讨论和分析,结果表明,菲尔德斯断裂地区存在微小的断裂剪切运动,但位移量不大。  相似文献   

GIS中多幅地图的缩放漫游及其数据组织   总被引：1，自引：0，他引：1  

赵仁亮 《四川测绘》1998,21(4):151-155

本文在分析现存GIS软件中处理多幅不同比例尺或相同比例尺地图的放缩漫游时的不足及其原因的基础上,提出了一种使用地理逻辑窗口动态裁剪快速而安全的多幅地图无级缩放和全区域自由漫游的方法,并对其数据组织和管理作了探讨。  相似文献   

矿图属性数据的ASE管理     

蔡少华  朱涛 《测绘工程》1998,7(1):60-63

在矿图绘制过程中,ＡＵＴＯＣＡＤ和数据库系统（ＤＢＭＳ）之间的来回切换而引发的种种问题一直难以解决。本文以ＡＳＥ为基础,介绍一种新型的矿图属性数据数据管理方法,为ＣＡＤ与ＤＢＭＳ的合理集成提供了一种新途径。  相似文献   

教师在数字化测图教学实践中的主导作用     

侯建国  李金平 《测绘工程》1998,7(4):70-74

介绍在数字化测图实践中,各关键技术环节上教师的主导作用,总结了实践教学的经验和体会。  相似文献   

长江三峡巴东县黄土坡前缘斜坡变形数据本构分析预测研究   总被引：1，自引：0，他引：1       下载免费PDF全文

王园  唐辉明  王沁 《地球科学》1998,23(6)

应用数据本构分析方法,对三峡库区巴东县黄土坡前缘斜坡变形发展趋势进行了分析预测,阐明了数据本构分析预测对斜坡地质灾害的分析、防治意义  相似文献   

多光谱遥感数据最佳波段选择方法试验研究   总被引：15，自引：1，他引：15  

李石华  王金亮  陈姚  朱妙园  廖迎芸 《云南地理环境研究》2005,17(6):29-33

分析了多光谱遥感数据最佳波段选择的标准差、熵和联合熵、相关性系数及最佳指数等计算方法的内在联系。通过试验,说明了各种计算方法的有效性和局限性,最后得出OIF指数法为多光谱遥感数据最佳波段选择的最优方法。  相似文献   

基于GIS的水资源管理信息系统   总被引：22，自引：0，他引：22  

陈刚  陈植华 《水文地质工程地质》1998,25(6):4-6

地理信息系统（ＧＩＳ）因为其强大的空间数据处理能力,为水资源管理提供了一个新颖、高效的工具。本文深入ＧＩＳ的功能和水资源管理的实际,通过山西汾阳县的应用实例,阐述了应用ＡｒｃｈＩｎｆｏ／ＡｒｃＶｉｅｗ构建水资源管理信息系统过程中的信息收集、储存、分析以及二次开发的方法和过程,分析了两者结合应用的可行性和优越性,并讨论了这种方法在水资源系统模拟、辅助决策支持等方面的广泛应用前景。  相似文献