利用遥感技术监测船舶航速的方法研究     

王红梅  潘广东  王超  郭子祺 《遥感学报》2001,5(2):149-153

主要讨论了两种利用遥感技术提取水面运动船舶的航速方法：利用波高谱信息提取航速和利用船尾迹中的横波信息提取航速。作者介绍了这两种方法的原理，描述了利用遥感技术提取船舶航速的工作流程，并利用模拟和实测的船尾迹波高数据对这两种方法进行了验证。从计算结果看，两种方法精度都能满足仅要求航速量级的需求者，利用波高谱信息的方法误差（10％左右）小于利用横波信息的方法误差（20％左右）。该项研究为实时或近实时探测运动船舶航速提供了新的方法。  相似文献   

遗传算法与最小二乘法相结合的遥感图像子像素匹配   总被引：15，自引：1，他引：15  

熊兴华  钱曾波  王任享 《测绘学报》2001,30(1):54-59

图像匹配在计算机视觉和数字摄影测量中都是一项十分重要的任务。为了加速匹配并为高精度子像素匹配提供稳健而相对精度的初值，本文提出了一种基于遗传算法（GA）和最小二乘法匹配（LSM）相结合的遥感图像子像素匹配算法。实验表明：基于遗传算法的匹配算法比序贯相似度度量（SSDA）和经典的平均绝对差（MAD）方法要快得多。以我们的实验数据为例，MAD与GA在相关计算总量上的比至少为36：1。本文从理论上证明了这一点。  相似文献   

星载SAR复数图像的配准   总被引：16，自引：4，他引：16  

刘国祥  丁晓利  李志林  陈永奇  章国宝 《测绘学报》2001,30(1):60-66

星载干涉雷达测量已经被证实用于生成大范围（乃至全球）的DEM或监测地表位移具有广阔的应用前景，其中SAR复数图像序列的精确配准是保证生成有效干涉相位图的重要环节之一。本文分析了卫星InSAR系统中所涉及的几种坐标系统变换问题，并提出了基于此的几何配准方案，即基于卫星轨道状态矢量、SAR成像几何进行配准的算法；同时，还设计了基于几何配准结果和能量影像相关技术的配准算法，最后使用ERS－1／2、JERS－1和RADARSAT卫星获取的3种SAR复数图像对分别做几何配准和相关配准试验和比较，并对卫星SAR图像质量和轨道数据质量作了定性分析。  相似文献   

Book Reviews     

《The Photogrammetric Record》2001,17(98):365-387

Books reviewed;
D. Fritsch and R. Spiller, Photogrammetric Week '99.
D. R. Wilson, Air Photo Interpretation For Archaeologists
D. R. Green, Gis: A Sourcebook For Schools
R. Gower, Workshop On National Mapping Agencies And The Internet
A. Flotron and O. Koelbl, Precision Terrain Models For Civil Engineering
P. Atkinson and D. Martin, Gis And Geocomputation. Innovations In Gis 7
R. P. Kirby, Revision Measurement Of Large Scale Topographic Data
J. Höhle, Automatic Orientation Of Aerial Images On Database Information
S. Dequal, L. A. Koen and F. Renaudo, Comparison Of National Guidelines For Technical And Cadastral Mapping In Europe ("Ferrara Test")
P. J. Gibson, Introductory Remote Sensing: Principles and Concepts
T. Luhmann, Nahbereichsphotogrammetrie: Grundlagen, Methoden Und Anwendungen  相似文献   

Self-organised clustering for road extraction in classified imagery     

Peter Doucette  Peggy Agouris  Anthony Stefanidis  Mohamad Musavi 《ISPRS Journal of Photogrammetry and Remote Sensing》2001,55(5-6)

The extraction of road networks from digital imagery is a fundamental image analysis operation. Common problems encountered in automated road extraction include high sensitivity to typical scene clutter in high-resolution imagery, and inefficiency to meaningfully exploit multispectral imagery (MSI). With a ground sample distance (GSD) of less than 2 m per pixel, roads can be broadly described as elongated regions. We propose an approach of elongated region-based analysis for 2D road extraction from high-resolution imagery, which is suitable for MSI, and is insensitive to conventional edge definition. A self-organising road map (SORM) algorithm is presented, inspired from a specialised variation of Kohonen's self-organising map (SOM) neural network algorithm. A spectrally classified high-resolution image is assumed to be the input for our analysis. Our approach proceeds by performing spatial cluster analysis as a mid-level processing technique. This allows us to improve tolerance to road clutter in high-resolution images, and to minimise the effect on road extraction of common classification errors. This approach is designed in consideration of the emerging trend towards high-resolution multispectral sensors. Preliminary results demonstrate robust road extraction ability due to the non-local approach, when presented with noisy input.  相似文献   

Thematic mapping from remotely sensed data with neural networks: MLP, RBF and PNN based approaches     

Giles M. Foody 《Journal of Geographical Systems》2001,3(3):217-232

 Neural networks are attractive tools for the derivation of thematic maps from remotely sensed data. Most attention has focused on the multilayer perceptron (MLP) network but other network types are available and have different properties that may sometimes be more appropriate for some applications. Here a MLP, radial basis function (RBF) and probabilistic neural network (PNN) were used to classify remotely sensed data of an agricultural site. The accuracy of these classifications ranged from 86.25–91.25%. The accuracy of the PNN classification could be increased through the incorporation of prior probabilities of class membership but the accuracy of each classification could also be degraded by the presence of an untrained class. Post-classification analyses, however, could be used to identify potentially misclassified cases, including those belonging to an untrained class, to increase accuracy. The effect of the post-classification analysis on the accuracy of the classification derived from each of the three network types investigated differed and it is suggested that network type be selected carefully to meet the requirements of the application in-hand. Received: 23 March 2000 / Accepted: 9 July 2000  相似文献   

基于分形理论的航空图像分类方法   总被引：2，自引：0，他引：2  

李厚强  刘政凯  林峰 《遥感学报》2001,5(4):353-357

提出一种基于分形理论和BP神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB格式转化为HSI格式，然后，根据亮度计算分数维、多重分形广义维数谱q-D(q)和“空隙”等基于分形的纹理特征，同时加入归一化的色度和饱和度作为光谱特征，采用BP神经网络作为分类器。通过对彩色航空图像的分类实验，结果证实该方法行之有效。  相似文献   

远区重力数据对扰动位径向二阶梯度的影响     

赵东明  吴晓平 《测绘学院学报》2001,18(1):16-19

提出了利用地面重力异常数据计算地面扰动位径向二阶梯度时，远距离带区影响的误差公式，结果以级数形式给出，以其数学模型为基础，利用全球重力位模型GPM98，计算确定了不同平均异常网格大小情况下截断半径取一系列值时的远区影响，在将卫星重力梯度和航空重力梯度观测数据与地面重力数据进行联合处理时，文中提出了远区影响的数量关系，对于确定合理的截断半径大小具有一定的参考价值。  相似文献   

计算机图像处理可视化软件设计与实现   总被引：1，自引：1，他引：1  

秦志远  张占睦等 《测绘学院学报》2001,18(1):33-35,43

对数字图像实施处理的可视化表达，将使复杂，深奥的图像处理原理更容易理解，文中在详细分析数字图像处理有关理论，算法的基础上，设计了软件的总体框架，实现了多种图像处理功能，并辅以强大的联机帮助。  相似文献   

一种适应图像特征的数据加密方法     

王杰臣  周娅 《测绘学院学报》2001,(2)

数据加密是信息科学中一个重要问题 ,它对于知识产权的保护、防止机密数据外流及情报的安全传递都有很重要的现实意义。文中提出一种利用图像携带加密数据的技术 ,将需要加密的数据隐藏到一幅图像文件中 ,而对宿主文件的效果影响甚微 ,并采用两种数据筛方法 ,即利用图像特征数据筛保持携密图像的带密位仍具有原始图像的特征 ,利用随机数筛消除加密数据的特征 ,从而有效地防止这类图像被识别与解密 ,为私有信息的存储与传递提供安全保障。  相似文献