遥感技术在区域地质调查中的应用研究进展

论述了１∶５万区域地质调查中的图像信息理论及其应用意义；讨论了遥感岩石学、影像地层学、遥感构造分析、环境地质与生态地质遥感地质解译填图的基础理论和方法；论述了影像地质界线的基本信息类型及其信息理解过程；提出了影像地质信息的多级识别方法和空间模糊叠加分析方法；最后探讨了区域地质调查中遥感技术的发展趋势。     

RS和GIS结合的初步尝试

通过对航空遥感图像物体特征（色调、形状、大小、阴影、纹理及其相互关系）的提取，采用人机交互和自动识别的方法进行遥感航片的综合分析和利用，是合肥市规划与建设管理信息系统的一个重要内容。ＡＲＣ／ＧＲＩＤ模块的优势在于一对于栅格数据进行显示和查询；对于栅格数据进行算术、逻辑、关系、赋值等操作；对数据进行管理；其分析功能很强，可进行环境分析、社会分析、水文分析、经济分析；建立模型。通过图象分类处理，可将城市绿化、江河、城市主干道、建筑物分类，并对城市绿化进行区域统计，对江河、日照进行分析和对所分割的地块进行检索分析     

巷道围岩松动圈的地质雷达探测及应用

在简述地质雷达探测原理的基础上, 分析了巷道围岩松动圈雷达探测的可行性。结合华丰矿巷道围岩松动圈探测实例, 提出了松动圈雷达探测方法、图像分析及探测结果应用。结果表明, 采用地质雷达探测巷道围岩松动圈是可行的, 可以用于指导巷道围岩的锚杆支护设计。     

利用高分辨率卫星影像进行地震损失评价所需的城市特征识别

高分辨率卫星影像已经在一些国家的民用领域得到应用。利用高分辨率卫星影像来收集地震损失评价所需要的各类城市信息不仅高效和有较好的时间分辨率，而且它可以减少以往所必需的大量的代价高昂且费力的城市调查。基于在印度城市台拉登所做的研究，讨论了如何利用高分辨率卫星影像进行城市特征识别的一些问题，同时也简单论述了利用GIS／RS软件综合所得的数据以便用于地震损失评价的方法。     

Method of high-density seismic imaging ex-ploration and application samples

Introduction Now, shallow seismic reflection wave technique has been used extensively in geological ex-plorations of bridge, dam, high building and so on. Since shallow seismic reflection wave tech-nique is often implemented in industrial zone or city with dense population, the background dis-turbance including industrial noise, life noise, etc is very serious. Furthermore, the disturbance of seismic source is also serious due to short array length and offset of the method. In general, shal-lo…     

Analytical methods Of assessing the image quality associated with digital and photographic imaging systems

The introduction of digital cameras for aerial survey photography and use of scanners with processed aerial film present a number of technical questions concerning the way photography is to be acquired in the future. Among the questions to be addressed are the comparative metric properties of images acquired by each system and the associated image quality characteristics. The new digital camera systems will require very careful appraisal, using well-established methods of assessing metric quality already available to survey organisations. The questions concerning image quality are more difficult to answer, as they require very specialised instrumentation if measurements are to be made directly in practice. Over the course of the past several decades a more analytical approach to assessing image quality has emerged, and one that may be used by individuals. The method is particularly effective where information on the micro-image characteristics of products is made available by the manufacturers concerned. An outline is given of some considerations that need to be taken into account when using an analytical approach, with references given for further reading.     

A Model-Based Approach to Semi-Automated Reconstruction of Buildings from Aerial Images

Automated reconstruction of building objects from aerial images is a complex problem due to the diversity of buildings as well as noise and low contrast of images, which are the results of distant photography, atmospheric effects and poor illumination. In this paper, a semi-automated approach to the reconstruction of parametric building models from aerial images is presented, which works with line segments extracted from the image. The model is selected interactively from a library of parametric models. A perceptual grouping technique is used to select the most significant image lines in terms of relations such as proximity and parallelism. Model lines are searched for the same relations as in the grouped image lines, and the corresponding lines undergo a matching procedure, which determines whether or not a match can be found between the given model and image lines. An experiment with aerial images of flat-roof and gable-roof buildings is shown and its results indicate the robustness and efficiency of the proposed approach.     

采用DPIV技术研究浅水平板岛屿尾流

人们对于尾流的研究大都针对绕流体在展向非常长的情形,但是在天然环境和水利工程中出现的多为水深相对很浅的流动。由于槽底和自由水面的限制,浅水域中的尾流有着与深水尾流不同的流动规律。采用数字粒子图像测速(DPIV)技术,在长30m、宽3.5m、高1m的水槽中比较系统地量测了浅水中绕平板岛屿的尾流区流场。分析了大尺度旋涡的运动规律,得到了尾流流动形式随尾流稳定性参数的变化规律。目前如此大尺度浅水岛屿尾流的定量实验研究并不多见。     

A New Model for Quantifying Anisotropic Scale Invariance and for Decomposition of Mixing Patterns

A new power–law function has been derived to represent the relationship between area of the set consisting of wave numbers with spectral energy density above S (A(>S)) on the two-dimensional frequency plane and S. The power–law relation holds if the field concerned possessing isotropic scale invariance or generalized scaling invariance involves rotational and ratio-scale changing transforms. The equation is valid for dealing with common exploration geophysical and geochemical fields encountered in mineral exploration and environmental assessment. This power–law function not only provides a new model for characterizing anisotropic scaling invariance for generalized scaling field, for example, estimating the power exponent of power spectrum of generalized scale invariance measure in frequency domain, but also forms a theoretical base for the S–A filtering technique developed for decomposing a mixing field into components on the basis of distinct scaling properties in the frequency domain. It is demonstrated that the method has potential to become a general technique for image processing and pattern recognition.     

概率神经网络与BP网络模型在遥感图像分类中的对比研究

通过分析概率神经网络(以下称PNN)的基本结构及其训练算法,建立了卫星图像分类的概率神经网络模型,并通过实例对比分析了概率神经网络与BP网络分类模型的分类效果。实验表明,PNN图像分类方法在分类精度上优于误差反向传播神经网络模型,且分类时间相当,是一种有效的图像分类方法。