Two Dimensional Phase Unwrapping Theory Algorithms and Software
Two Dimensional Phase Unwrapping Theory Algorithms and Software，扫描文档，清晰度一般。GTWO-DIMENSIONALPHASE UNWRAPPINGTHEORY ALGORITHMSAND SOFTWAREDennis C. ghigliaSandia National LaboratoriesAlbuquerque, New MexMark D. PrittLockheed Martin CorporationGaithersburg, Maryland藏A WILEY-INTERSCIENCE PUBLICATIONJOHN WILEY SONS, INCNew York Chichester Weinheim Brisbane Singapore / Toronto2005060radar interferogram generated byDeathon each pass, The terrain elevations can be computed from thebut the phase differences must fig problem In regions of steeprrupted where there are radar shadow and "layover"effects. Surfaceoccurred between the two passes, which were 24 days apar alsopThis image was acquired as part of a program for the Terrain Modeling Project Officended byEngineering Center. The SAR data was provided by Radarsat Intenational THinterferogram was generated and provided by Vexcel Corporation, Boulder, Coloradop00This text is printed on acid-free paper.Copyright o 1998 by John Wiley Sons, Inc. All rights reservedNo part of this publicationreproduced, stored in a retrievalsystem or transmitted in any form or by any means, elechanical photocopying, recording, scanning or otherwise,xcept as permitted under Sections 107 or 1O% of the 1976of the Publisher or authorization through payment of theontates Copyright Act, without cither theppropriate per-copy fee to the Copyright Clearance Center, 222750-4744. Requests to the Publisher for permission show(978)ood Drive, Danvers, MA 01923, (978)750-8400, faxnc.. 605 Third A venue. New York, NY 10158-0012(212)850-6011fax(212)850-6008,E-Mail:PERMREQ@WILEY.COMTwo-dimensional phase unwrapping: theory, algorithms, andsoftware/Dennis C Ghiglia and Mark D Pritt.SBN0-471-24935-1(cloth: alk. paper)1. Synthetic aperture radar. 2. Signal processing--Mathematics3. Interferometry. I Pritt. Mark D. [L. Title621.367-dc2l97-3803410987654321;4TWO-DIMENSIONALPHASE UNWRAPPINGFOREWORDTwo-dimensional phase unwrapping is the type of problem that is typically thedomain of the mathematician. It is both complex and abstract However, phaseunwrapping is also the core technology that enables radar interferometryOver the past decade interferometry has changed the way that we use radardata. Radar data are now used for precise measurement of surface topography inclouded regions. Additionally, spaceborne radar systems have proved effectivefor measuring surface changes from earthquakes and volcanic eruptions. Theseapplications have created a new class of radar data users primarily involved inmapping and remote sensing applicationIn Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Softwarethe authors unlock the mystery of phase unwrapping in interferometric datarocessing. This text provides a clear, concise treatment of phase unwrappingthat cannot be found in any other source. It presents for the first time therelationship between theory and application. Its uniform treatment of thevarious phase unwrapping techniques makes it a valuable resource for anyengineer or scientist involved in processing or exploitation of interferometricexpect that radar interferometry will increase in importance over the comingdecade with the development of airborne and spaceborne sensor systemsdesigned to optimally exploit this tcchnology. Two- Dimensionsping: Theory, Algorithms, and Software is an important contribution to ourinderstanding of radar interferometry that will bencfit both research intoadvanced techniques and the design of these future sensor systemsJOHN C. CURLANDEPresident and CEOVexcel CorporationPREFACETwo-dimensional phase unwrapping arises most naturally in, but is notrestricted to, interferometric applications. Measured or calculated phasevalues from two or more mutually coherent multidimensional signals are relatedn a nonlinear manner to a desired physical quantity of interest. The nonlinearityis in the form of"wraps"or cycle discontinuities where an underlying two-dimensional phase is wrapped into the interval (T, r. The wrapped phasemust somehow be unwrapped in order to provide an estimate of the underlyingphysical quantity. Estimation of surface topography from interferometricsynthetic aperture radar(SAR)or extremely accurate profiling of mechanicaparts by optical interferometers are two such examplesOriginally developed for military reconnaissance, SAR is now experiencingnew life in civil applications. In fact civilian and commercial interests are rapidlbecoming the drivers of technology. Clever utilization of the coherent SArimagery in interferometric configurations makes possible the measurement ofsurface topography to accuracies much better than the spatial resolution( 0.3meters to several meters)of the SaR images themselves. Indeed, as is commonplace with interferometers, measurement sensitivities are on the order of theoperating wavelength, which is typically a few centimeters for SAR. Imaginggeometries, noise, and other operational factors degrade performance some-what from centimeter-scale accuracies, but nevertheless SAR interferometrymakes possible global topographic mapping in a timely fashion, in daylight or atnight, in all weather conditions, and with unprecedented accuracyinterferometry also can detect deformations of the earths crust on the orderof millimeters, a capability that shows promise for the timely detection ofearthquakes or volcanic eruptionsThese exciting possibilities have led to an explosive growth in the field of phaseunwrapping as indicated by the increasing number of journal publicationsNewcomers to SAR interferometry and related disciplines will eventuallyonfront the phase unwrapping problem and, undoubtedly, will encounter arather bewildering variety of ideas and algorithms, including those based onneural networks, simulated annealing, cellular automata, genetic algorithms,and other unusual constructs. Which of these are good? Which are not? We doThroughout this book we use the notation(-丌,丌 to represent the interval-丌
- 2020-12-12下载
- 积分：1
陈继光《Matlab与自适应神经网络模糊推理系统》.pdf
陈继光《Matlab与自适应神经网络模糊推理系统》电子书录3.27将号矩阵的综合运算指令··3.28符号短阵的分解运算·····3.2.9符号矩阵的微积分求解··,,,··,。,,,·753.2.10符号矩阵线性方程组的解。····763.2.11符号矩阵代数方程组的解·:·············。。。··773.2.12符号徽分方程组的求解··793.213符号计算中状得指定精度数值解。·,·第4章数据和函数的图形处··········。·834]数据和函数图形化的一般方法4,1.1高散型数据和函数的图形表示,,····。,41.2连续函数的图形表示···,·*·····841.3数据图形表示的一般步巢:··.·.:·。··::844.2二维图形绘制·.···:·854.2.1plot指今的形式···:·;·422图形色彩、线型和数据点形参数的选择4.2.3坐标刻划和格网控制·。·。··874.24图形注释操作。。,:·····。。:··,·,··884.2.5重叠绘图■■會■命4.2.6双纵坐标绘图·。··A2.7多子图—列··4··44,2,8交互式图形指令·43二维图形绘制·:·········。‘······934.!二维图形绘图的数据准备b■■■●4.3.2三维图形网线图、曲面图基本指令格式。···。,,,。。·。。,,··944.3.3三维图形的色彩设定·43.4三维图形的透视处理964.3.5三维图形上的标志设定··4,36三维图形的镂空和裁切····:······。。·。。。。4.4函效绘图的商掩指令··。······。············。·945图形的实时动志操作■會■曾冒曾■■曾■■曾■■冒■■■4,6工程观测数据分析绘图····"*.··:·103第5章MLAB程序设计·,········。···········10551 HAELAB程序设计方法5.3.1贴TLAB程序的文件编粗方式········105录5.1.2m文件的两种格式····:·10752 HATLAB程序中的参数和变量··:,*·········。··1105.2.1 CATLAB系统参数1052.2 MATLAB系统变量·1115.3硎 ATLAB程序结构·,。···:112531版序结构·。····:··········。。·。。···1125.3.2循环结构。·,。··。,····“·。·。“······1136.33分支结构5,4程序流棹制話句······。4165.4.1ec0指令5,4,2impu-, vesirput指令····■····■····音3 pause指令1I75.4.4 keyboard指令····;1174,5brea指令5,5函数调用和参氮饭递·■■·····l195.5.1函数调用L195.5.2数传递56 MATLA数据的存取操作·1225,6,1MTLB数据的输入输出方式5,2用ope:,fre、 fsr f函数指令完成数据的读取:.···:·:·12356.3sae和load函数指令的使用12356.4矩昨数据的内存浏览器查掏第6章摸糊逻辑工具箱工作原理及其应用1z66.上模集合和模糊逻辑关系·······■·自曹着■1266.1.1模糊集合与就属度函数表示。。··1266.12隶屙度数形式296.1,3模糊逻辑概念·····6.l,4模糊摊理计算“·······‘··。·。。··。。。。。。:·1416,2模糊逻辑运算的图形界面工具及使用1426.2.1模糊推理系统編辑器及其应用···,·。·······,···143622隶属度函数编辑器及其应用········。,··。“····14562,3模糊规编辑器及其应用···476.24模拗规划浏览器及其应用。。····1496,2,5模糊推理系统输入、输出曲而图·.·····4····1496.3 MATLAB系统模逻辑运算的程序编写罩6.3I模糊逻辑推理系统的建立·····。··:···;··,····:152录6.32输入变量就属度函数选择·····,,“·,,,,,“,·152633输出变量就属度函数选择■■▲1546.3.4模糊规则定义···:········,:·······:···1546.3.5程序运行科函数指令介網········;···········1556.4自适应网络模糊推理系统ANF1概述。·1616.5自适应网络模糊推理系统编辑器的图形界面及其使用···········*1626,5.l自适应网络模推理系统编料器的图形界面65.2自适应网络模糊推理系统编辑器使用示例··:··1696.6自适应网绌模糊攉理系统的程序运算····*·17566数据文件连接和数据类型定义,····。:·1776.6.2调用函数指令由训综数据生成初始自适应网络模糊推理系统模型786.6.3运用训练数据进行系统模型优化训练s··■即咖鲁幽866.4模型预测值计算和预测数据曲线图b1826.6.5预测误差计算和预测误差线···。····,。····。···1836.6.6模型结杓误差分析计算。··········。。·······“···1846.7白适应网络模糊推理系统工程应用示例一流观测数据预测·。。··。··1856.7.1最住延迟叶间间隔和世入维数选取的预测误差最小法········18667.2模型分析::愚啬鲁鲁申鲁·咖鲁即·●·鲁·■■l8567.3应用举例··-·············.····1876.7.1结论·····188MATLAB与自适应神经网络模蝴推理系統第1章 MATLAB系统的基础准备1.1 MATLAB系统的运行环境1.1. HATLAB系统的运行环境概述照 ATLAB可以运行在 Microsoft windows、Lnix、 Macintosh3种操作系统平台,般要求16以上内存,系统所需占用的硬盘空间托系统安装时有提示要求,且需留有足够的空间作为虚拟内存。运行 MATLAB HELP DESK需要安装 Microsoft interneExplorer40以上版本;查看PF格式的说明文挡;需要安装 Adobe Reader;如需运行 MATLAB AOTE BOOK,需安装 Microsoft word7.0以上版本:在装有 FORTEAN利visua1C¨编译器时,硎TLAB还可以与 FCRTRAN和 Visual c¨混合编程。.1.2 MATLAB系统运行的硬廾环境表1-1 MAELAB系统运行的硬件环境设备MATLAB 3. XMATLAB 4.xmAtLAB 5.5最小配量386最小配置PEm1um75建议配置Pu建议配置586建议配置 Pentium133| Fent ium133上最小配置1娴最小配置4MB最小配置8MBRAFF建议配童4恥建戏配置8B建议配64B最小配置1.2MB|最小配32B最小配置6AB硬盘空间建议配置32MB建议配置68建议配4G最小露置vcs最小配置6s最小配置图形卡建议配置GS建议院置SGS建议配貿操作系统Ds2.0Windows 3.xindos 981.2 MATLAB的启动完成 MATLAE5X的软件安装后,MTLA图标会自动出现在 Windows桌画中,如图1-1所示:操作时,光标选中MTAB图标,双击左键,确认希望运行MTAB程序,屏幕弹出图1-2 MATLAR工作窗口。笫1章 MATLAB系统的基础准备连接到Internet网上邻居MATLAB 5.3AerobatReader 4.0Ef图1-1 Windows桌面出现 MATLAB图标MAILAS CoN程1lreget started, type one of these: helpwin, helpdesk, or demoproductinformaTionvisitwww.nathworks.comI MATLAB Command Window图1-2 MATLAB工作窗口及顶部菜单命令MATLAB工作窗口是标准的 Windows工作界面,操作者可以利用窗口顶部的下拉菜单选项实现工作窗口内容的各种操作,同时工作窗口还是显示执行效果信息的区域。窗口顶部菜单项包括:File、Edit、View、 Window和Help,可以执行文件的打开、保存、编辑、显示等操作;图1-3是 MATLAB工作窗口中File项下拉菜单内容,其中标有三角形标记的选项可以拉出下一级子指令,图1-4是选择New拉出的三项子指令MATLAB与自适应神经网络模糊推理系统HATLAB Comm and Windonrat se戏M时图1-3 MATLAB工作窗口中File项下拉菜单内容1.2.1File一基本文件操作New建立新的M文件、图形文件或 Simul inkmk模块Open打开文件Open selected打开指令窗口指定的M文件Run Script运行工作窗口内的文件内容Load Workspace与MAT文件连接Save Workspace As将工作窗口内容存入指定MAT文件Show Workspace显示MT文件内容Show Graphics Property Editor图形文件属性编辑Show GUI Layout Tool图形用户界面工具Set path设置 MATLAB工作路径Preferences参数选择第1章 MATLAB系統的基础准备Print Setup打印设置Print打印工作窗口内容Print selection打印选择的内容Exit MATLAB退出 MATLAB,释放占用的内存空间1.2.2Edit一编辑操作noo操作回退剪切C复制Clear清除内存中的变量和函数Sclect all全选Clear session清除窗口显示内容,但不清除内存中的变量和函数1.2.3View一视窗管理loBar选择是否在工作窗口显示工具拦1.2.4 Window一窗口管理0 MATLAB Command Window没有图形文件情况下,下拉菜单中只存在一个 MATLAB工作窗口选项,建立图形文件后,菜单中出现相应图形文件选项1.2.5Help一帮助选项Help window帮助窗口,显示帮助信息Help tips帮助提示,按窗口提示选择帮助信息Help desk(HTML)在窗口内输入问题关键字,读取田ML文件,寻求帮助信息Examples and Demos范例演示About matlaB关于 MATLABMATLAB Command Window图1-4选择New拉出的三项子命令MATLAB与自适应神经网络模糊推理系统51.3 Command Window显示方式设置和操作MATLAB工作窗口是系统运行内容显示的主要窗口,熟悉工作窗口的各种操作方式和显示效果将更有利于 MATLAB系统的应用,本节将进一步对工作窗口的显示方式设置、常用操作指令、简化编辑方式等内容进行介绍。1.3.1工作窗口显示方式设置使用 MATLAB工作窗口时可根据用户的需要对工作窗口的字体风格、尺寸、颜色及数值计算结果显示格式进行定义设置。图1-5为点击工作窗口顶部文件菜单下拉选项preferances后屏幕弹出的工作窗口的字体风格、尺寸、颜色设置窗口,操作者可在窗口中根据需要完成各项日设置,完成设置后点击确定确认选择。该设置将长期保存即设置不会因工作窗口关闭而改变,如需变更设置内容,用户需对更改项进行重新设置Tetet区TG·ndIr GDIhiteRaBuYyZz图1-5工作窗口选项 preferances后屏幕弹出的工作窗口的字体风格、尺寸、颜色设置窗口工作窗口数值显示格式的设置通过表1-2数据显示格式控制指令完成,数值显示格式的设置与工作窗口字体等设置不同,这种设置仅适时有效,即一旦工作窗口关闭数值显示格式设置失效,系统恢复原默认设置。表1-2数据显示格式控制指令控制指令格式控制指令格式含义1format short小数点后4位有效,大于1000的实数
- 2020-12-08下载
- 积分：1
