Automated Kerogen Classification in Microscope Images of Dispersed Kerogen Preparation

We develop the classification part of a system that analyses transmitted light microscope images of dispersed kerogen preparation. The system automatically extracts kerogen pieces from the image and labels each piece as either inertinite or vitrinite. The image pre-processing analysis consists of background removal, identification of kerogen material, object segmentation, object extraction (individual images of pieces of kerogen) and feature calculation for each object. An expert palynologist was asked to label the objects into categories inertinite and vitrinite, which provided the ground truth for the classification experiment. Ten state-of-the-art classifiers and classifier ensembles were compared: Naïve Bayes, decision tree, nearest neighbour, the logistic classifier, multilayered perceptron (MLP), support vector machines (SVM), AdaBoost, Bagging, LogitBoost and Random Forest. The logistic classifier was singled out as the most accurate classifier, with an accuracy greater than 90. Using a 10 times 10-fold cross-validation provided within the Weka software, we found that the logistic classifier was significantly better than five classifiers (p<0.05) and indistinguishable from the other four classifiers. The initial set of 32 features was subsequently reduced to 6 features without compromising the classification accuracy. A further evaluation of the system alerted us to the possible sensitivity of the classification to the ground truth that might vary from one human expert to another. The analysis also revealed that the logistic classifier made most of the correct classifications with a high certainty.     

基于树结构的数字遥感图像存储方法与应用

数字遥感图像一般是采用栅格结构来存储。图像中地物的结构特征是隐含其中的。该文从图像识别角度，重点研究了基于树结构的数字遥感图像存储方法。这种方法与遥感中常用的四又树等存储方法不同，它注重图像中地物本身的结构特征。通过树结构使像元按地物目标形成一个个的组合体。该文以机场跑道识别为例，介绍了基于树结构的数字遥感图像存储方法的应用以及将图像变为树的算法。     

矿山工程裂隙破碎带的三维地震模式识别原理及应用效果

本文从时间域、频率域、三维空间域介绍了矿山工程裂隙破碎带主要的地震运动学、动力学属性参数,包括相对振幅、波峰相位时间、相似系数、主频带能量、三维空间时间梯度和相干系数等,提出了矿山工程裂隙破碎带三维地震属性的去噪平滑、归一化、相关分析、特征变换的处理方法以及裂隙破碎带的模式识别原理与方法,并用实例说明了该方法的应用效果。结果表明:模式识别法对于解释矿山工程的裂隙破碎带是有效的,并具有广阔的应用前景。     

关于地理信息系统学科的理论基础与体系框架

地理信息系统已成为一门独立的学科，关于它的理论基础与体系框架应该是一个值得研究的问题。从地理信息系统的本质看，它是传输地理环境信息的现代化工具，“空间认知”与“地理系统”作为地理信息系统的认识论和方法论，是地理信息系统的理论基础；地理信息系统理论、技术与应用构成了它的体系框架。     

开滦荆各庄矿FE9'断层研究

通过9煤层、11煤层、12-1煤 层中 工程对 FE9'断层的 揭露 ,并结合 巷探 、钻探 等手段 ,对 FE9'断层 的空 间 展布有了新 的认 识。对 周边 12-2煤层 的规划 开发、断层样 式的 认识乃 至井 田应力 场分 布的研 究提 供了依 据。     

A New Nonparametric Discriminant Analysis Algorithm Accounting for Bounded Data Errors

In a statistical pattern recognition context, discriminant analysis is designed to classify, when possible, objects into predefined categories. Because this method requires precise input data, uncertainties cannot be propagated in the classifying process. In real case studies, this could lead to drastic misinterpretations of objects. A new nonparametric algorithm based on interval arithmetic has thus been developed to propagate interval-form data. They consist in calculating interval conditional probability density functions and interval posterior probabilities. Objects are eventually assigned to a subset of classes, consistent with the data and their uncertainties. The classifying model is thus less precise, but more realistic than the standard one, which we prove on a real case study.     

我国月降水和气温网格点资料的处理和分析

用逐步搜索逼近法的客观分析技术计算出１９５１－１９９２年中国月降水量和月平均气温的格点资料，并利用图象识别原理对格点值和站点观测值进行了比较。     

冰雹云雷达回波自动识别系统

利用CAPPI资料对立体风暴进行识别，计算并提供出实用的风暴结构参数，采用矩心踊跃法和矩不变量法相结合对单体风暴和混合性风暴回波进行跟踪；最小二第线性外推预报；根据WSD－88D的冰雹算法，在风暴结构基础上本文建立了Windows98操作平台上冰雹识别系统，经单站1年11次强对流天气过程的资料检验，结果表明：雹云识别精度达82％。系统建立了大量人机对话框以方便用户，增加实用性及推广性。     

利用多分辨率半边进行全球多分辨率DEM无缝表达

矢量化的复杂建筑平面图纸受各类图元的干扰,其空间布局识别难度非常高,然而在5G基站建设、智能家居以及AR/VR（augmented reality/virtual reality）中广为应用。提出了一种结合栅格图像和矢量表示的高性能融合对偶识别方法。首先,采用建筑平面图纸的栅格化表示,提取建筑图纸的主要发展方向,构建分割的若干个封闭区域空间。然后,采用建筑平面图纸的矢量化表示,利用空间识别的有向性和邻接特性,创新地提出使用半墙数据结构进行墙体几何位置和拓扑关系的计算,从而根据空间对偶原理高精度地整体重建墙体布局。最后,获取包含各类墙体布局的矢量建筑平面图数据集,并进行方法的实验验证。实验结果证明了所提出的先空间后墙体的融合对偶识别算法对于各类建筑模型类型均具有可用性和有效性。与传统先墙体后空间的识别方法相比,所提方法具有更高的鲁棒性,受特定建筑图纸类型的干扰更少。