塔里木盆地陆相烃源岩有机组分的分类及其岩石学特征     

刘大锰  金奎励 《中国煤田地质》1996,8(1):9-14,T001

通过对塔里木盆地陆相烃源岩所作的详细有机岩石学研究，提出了适合该盆地的陆相烃源岩有机组分分类方案，并系统地阐述各有机组分的光性、成因及岩石学特性。  相似文献   

榴辉岩的成分分类   总被引：3，自引：2，他引：3  

葛宁洁  彭中华 《岩石学报》1992,8(1):87-89

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铀矿床勘探类型之定量划分     

何金周 《铀矿地质》1993,(1)

本文提出矿化连续性分类法,它根据大矿体储量比例,将铀矿床划分为9个勘探类型。  相似文献   

PROGRAM FOR PROCESSING OF HISTORICAL LABORATORY DATA BASED ON FUZZY SET THEORY AS A TOOL FOR DECISION SUPPORT     

J.KLAESSENS  J.VANSCHALKWIJK  P.COX  R.BEZEMER  B.VANDEGINSTE  G.KATEMAN 《地理学报(英文版)》1988,(1)

A computer program(FEA)is presented for processing historical laboratory data.It performs on a list ofsample entries stored in a laboratory information management system.Using an algorithm which is basedon fuzzy set theory,FEA classifies the entries into a limited number of clusters called sample types.Theclassification is fully user-defined.The program transforms the historical data into a representation whichis more suitable for studying the performance of the laboratory or which can be used as preparation for asimulation project.  相似文献   

Scale invariant theory for Bianchi Type VIII and IX space-times with perfect fluid     

G. Mohanty  B. Mishra 《Astrophysics and Space Science》2003,283(1):67-74

In this paper we have taken an attempt to study the feasibility of scale invariant theory (Wesson, 1981a,b) in Bianchi type VIII and IX space-times with a time dependent gauge function (Dirac Gauge i.e. βα )and a matter field in the form of a perfect fluid. It is found that Bianchi type VIII (δ=1) space-time is feasible in this theory whereas Bianchi type IX (δ=-1) space-time is not feasible. In this feasible case a radiating model is constructed and its physical behaviour is discussed. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

Remotely sensed estimation of forest canopy density: A comparison of the performance of four methods     

Chudamani Joshi  Jan De Leeuw  Andrew K. Skidmore  Iris C. van Duren  Henk van Oosten 《International Journal of Applied Earth Observation and Geoinformation》2006

In recent years, a number of alternative methods have been proposed to predict forest canopy density from remotely sensed data. To date, however, it remains difficult to decide which method to use, since their relative performance has never been evaluated. In this study the performance of: (1) an artificial neural network, (2) a multiple linear regression, (3) the forest canopy density mapper and (4) a maximum likelihood classification method was compared for prediction of forest canopy density using a Landsat ETM+ image. Comparison of confusion matrices revealed that the regression model performed significantly worse than the three other methods. These results were based on a z-test for comparison of weighted kappa statistics, which is an appropriate statistic for analysis of ranked categories. About 89% of the variance of the observed canopy density was explained by the artificial neural networks, which outperformed the other three methods in this respect. Moreover, the artificial neural networks gave an unbiased prediction, while other methods systematically under or over predicted forest canopy density. The choice of biased method could have a high impact on canopy density inventories.  相似文献   

Towards 3D map generation from digital aerial images     

Lukas Zebedin  Andreas Klaus  Barbara Gruber-Geymayer  Konrad Karner 《ISPRS Journal of Photogrammetry and Remote Sensing》2006,60(6):413

This paper describes the fusion of information extracted from multispectral digital aerial images for highly automatic 3D map generation. The proposed approach integrates spectral classification and 3D reconstruction techniques. The multispectral digital aerial images consist of a high resolution panchromatic channel as well as lower resolution RGB and near infrared (NIR) channels and form the basis for information extraction.Our land use classification is a 2-step approach that uses RGB and NIR images for an initial classification and the panchromatic images as well as a digital surface model (DSM) for a refined classification. The DSM is generated from the high resolution panchromatic images of a specific photo mission. Based on the aerial triangulation using area and feature-based points of interest the algorithms are able to generate a dense DSM by a dense image matching procedure. Afterwards a true ortho image for classification, panchromatic or color input images can be computed.In a last step specific layers for buildings and vegetation are generated and the classification is updated.  相似文献   

The ‘Stained Glass Procedure’, a new method to compare classification performance of images acquired with different pixel sizes     

E.A. Addink  J.G.P.W. Clevers  S.M. de Jong  G.F. Epema  F.D. van der Meer  A.K. Skidmore  W.H. Bakker 《International Journal of Applied Earth Observation and Geoinformation》2006,8(4):237-245

Objective comparison of classification performance of earth observation images, acquired at different spatial resolutions (e.g. NOAA-AVHRR, IRS-MOS, IRS-WiFS, Landsat-TM, IRS-LISS), is complicated because both class definition and training site selection are hampered by the inherent scale differences. This paper presents a new, generic method to compare the information content of such a set of images, the “Stained Glass Procedure”. It overcomes the stated problems by computing the scale-dependent, internal spectral variation in an image and by using this as an indicator for land cover information. The Stained Glass Procedure creates segments in the images and calculates the internal spectral variation in a high-spatial-resolution image for each segment. For each image from the set the average variance, weighted to area, is calculated. The Stained Glass Procedure can be used to predict the performance of sensors that are not available, yet, or to roughly determine the optimal spatial resolution for the classification of a specific area.The procedure was applied to images with pixel sizes ranging from 23 to 1100 m. Classification detail of Envisat-MERIS (300 m pixel size), not included in the image set, could be predicted accurately using the Stained Glass Procedure.The Stained Glass Procedure applies one procedure to all images, without any subjective decision during the analysis, thus offering a method to compare images with different pixel sizes in terms of classification detail that is truly objective.  相似文献   

回归分析方法在地震科学应用中的问题与探讨   总被引：1，自引：0，他引：1  

姜慧  唐丽华  梁海华 《华南地震》2006,26(3):1-8

分析了回归分析方法在地震科学应用中存在的问题,提出了按变量之间的物理关系进行分类回归的新观点。针对实际地震问题给出了具体的分类方案,从理论上论述了不同类型问题采用不同的回归方法的必要性。通过对实际地震问题分析,剖析了现有回归分析方法的优缺点和适用条件。在此基础上,对不同类型统计问题如何选用适当的回归分析方法提出了合理的建议。  相似文献   

用小波包识别地震和矿震   总被引：6，自引：0，他引：6  

和雪松  李世愚  沈萍  冯全雄 《中国地震》2006,22(4):425-434

在能检测到天然地震和矿震的区域，这两类地震的快速识别无论对于区域台网和矿区台网都具有现实意义。这两类震动都是非稳态信号，用传统的Fourier变换不能提取出信号的特征信息，小波包分析方法却能很好提取出信号的特征信息。本文提供了一种基于非参数识别算法，即把信号变换到频域，然后再用奇异值分解作为统计工具，提取出信号的特征信息，作为识别天然地震和矿震的识别因子。以辽宁抚顺2001年1月1日到2003年6月30的18个矿震和16个天然地震，以及北京门头沟2001年1月1日到2002年12月31日的15个矿震和14个天然地震为样本，提取出识别因子。最后，用其它的天然地震和矿震资料检验了识别因子的识别率。  相似文献