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遥感影像的变化检测及应用软件关键技术

发布时间:2018-06-07 21:21

  本文选题:遥感影像变化检测 + 马尔可夫随机场 ; 参考:《西安电子科技大学》2014年硕士论文


【摘要】:随着遥感技术的快速发展,遥感图像变化检测已经广泛应用到城市变化,自然灾害评估,环境、地貌监测,农林、资源变化,军事侦察等多个领域。在总结遥感影像变化检测领域大量自主设计创新的优秀算法基础上,以Matlab2009a和Visual C++6.0集成开发环境为工具,研究开发了一款具有功能齐全的遥感影像变化检测应用软件平台。 本文探究了基于马尔可夫随机场的遥感影像变化检测算法,并重点研究了在开发遥感影像变化检测应用软件平台过程当中所涉及到的关键技术。首先,简要介绍了马尔可夫随机场基本理论,在此基础上讨论了一种基于马尔可夫随机场的遥感影像变化检测算法,最后通过仿真实验说明了该方法的有效性;其次,介绍了遥感影像变化检测应用软件平台的开发背景、界面设计和功能设计;最后重点阐述了遥感影像变化检测应用软件平台开发过程中涉及到的关键技术。软件平台中的关键技术包括:多线程编程技术、动态链接库技术、Matlab与VC混合编程技术以及内存映射技术。多线程可以把运行时间长的任务放到后台去处理,,避免程序运行时死机的情况发生;动态链接库能使程序更易于升级与维护;VC与Matlab混合编程技术将Matlab强大的数值计算能力和VC优秀的窗口程序开发能力结合起来,开发出高质量的软件;利用内存映射文件技术能快速读取和处理大容量遥感影像数据。
[Abstract]:With the rapid development of remote sensing technology, remote sensing image change detection has been widely used in many fields, such as urban change, natural disaster assessment, environment, landform monitoring, agroforestry, resource change, military reconnaissance and so on. On the basis of a large number of innovative algorithms in the field of remote sensing image change detection, Matlab2009a and Visual C++6.0 Integrated development environment is used as a tool to develop a fully functional remote sensing image change detection software platform.
This paper explores the detection algorithm of remote sensing image change based on Markov random field, and focuses on the key technologies involved in developing the application software platform of remote sensing image change detection. Firstly, the basic theory of Markov random field is briefly introduced. On this basis, a Markov random field based on Markov random field is discussed. At last, the effectiveness of the method is illustrated by the simulation experiment. Secondly, the development background, interface design and function design of the application software platform for remote sensing image change detection are introduced. Finally, the key technologies involved in the development of remote sensing image change detection software platform are expounded. The key technologies of the software platform include multi thread programming, dynamic link library technology, Matlab and VC hybrid programming technology and memory mapping technology. Multithreading can handle the task of long running time in the background to avoid the situation of the dead machine when the program runs; the dynamic link library can make the program easier to upgrade and maintain. The hybrid programming technology of VC and Matlab combines the powerful numerical computing power of Matlab and the excellent window program development ability of VC to develop high quality software, and can quickly read and process large capacity remote sensing image data by using memory mapping file technology.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP751

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