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遥感图像变化检测方法研究综述OA北大核心CSTPCD

Research Review of Remote Sensing Image Change Detection Methods

中文摘要英文摘要

遥感图像变化检测是遥感领域中一项重要的研究内容,其旨在利用遥感技术和图像处理方法来识别地表覆盖变化的模式和趋势.为了深入了解该方面的发展现状及其使用的技术方法,总结分析了大量的资料和文献,对遥感图像变化检测方法进行了较为全面的综述.介绍了变化检测的概念和处理流程;从6个角度总结了变化检测方法的分类体系,并回顾了其发展历程;概述了各类变化检测方法的原理和特点,对其优缺点进行了简要分析,从6个方面讨论了对遥感图像进行变化检测的现实应用价值;对存在的一些问题与不足进行了简要分析,提出了可能改善这些问题的方法,同时也预言了这些方法在实际应用中可能会遇到的阻碍.最后,对变化检测方法进行总结,并展望了未来的发展方向,以期更好地了解遥感图像变化检测方法的研究现状和发展趋势,为进一步的研究提供参考.

Remote sensing image change detection is an important research in the field of remote sensing,which aims to use remote sensing technology and image processing methods to identify the patterns and trends of surface cover changes.In order to gain a deeper understanding of the current development of this area and the technical methods used,a large amount of information and literatures are summarized and analyzed to provide a more comprehensive review of remote sensing image change detection methods.Firstly,the concept and processing flow of change detection are introduced.Then the classification system of change detection methods is summarized from six angles,followed by a review of their development history.Subsequently,the principles and characteristics of various types of change detection methods are out-lined,their advantages and disadvantages are briefly analyzed,and the real-world application value of change detection on remotely sensed images is discussed from six aspects.Some problems and shortcomings in the area are briefly analyzed,and some possible ways to improve these problems are proposed,while the obstacles that may be encountered in the prac-tical application of these methods are also predicted.Finally,the change detection methods are summarized,and the future development direction is prospected,in order to better understand the research status and development trend of remote sensing image change detection methods,and provide reference for further research.

孙剑明;赵梦鑫;郝旭耀

哈尔滨商业大学 计算机与信息工程学院,哈尔滨 150028

计算机与自动化

遥感图像变化检测发展历程检测方法应用价值

remote sensing imagechange detectiondevelopment historydetection methodsapplication value

《计算机工程与应用》 2024 (020)

30-48 / 19

国家自然科学基金(32201411);哈尔滨商业大学"青年科研创新人才"培育计划(XL0134).

10.3778/j.issn.1002-8331.2404-0392

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