| 多时相遥感影像变化检测方法综述 |
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| 引用本文： | 眭海刚,冯文卿,李文卓,孙开敏,徐川.多时相遥感影像变化检测方法综述[J].武汉大学学报(信息科学版),2018,43(12):1885-1898. |
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| 作者姓名： | 眭海刚 冯文卿 李文卓 孙开敏 徐川 |
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| 作者单位： | 1.武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉, 430079 |
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| 基金项目： | 国家自然科学基金41771457国家重点研发计划2016YFB0502600 |
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| 摘 要： | 遥感影像变化检测一直是国际遥感领域研究的热点和难点，尽管各国学者对变化检测问题进行了大量深入的研究，但是目前尚未出现一种普适性强、适用于所有情况的通用方法。随着遥感对地观测技术的快速发展和应用，变化检测技术体系也在不断地发展和演化。回顾了多时相遥感影像变化检测技术的发展历程，对多时相遥感影像变化检测方法的分类体系进行了归纳总结，从变化检测预处理、变化检测方法、精度评价3个方面详细总结了变化检测研究的最新进展，并指出了变化检测面临的核心困难及可能的应对措施，以期推动遥感影像变化检测研究更加深入的发展。
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| 关 键 词： | 遥感影像 多时相数据 高分辨率影像 信息提取 变化检测 |
| 收稿时间： | 2018-07-12 |
Review of Change Detection Methods for Multi-temporal Remote Sensing Imagery |
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| Institution: | 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2.Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China |
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| Abstract: | Change detection for remote sensing imagery is the process to determine difference of the same object or phenomenon at different times. Real-time automatic change detection technology is of great significance for excavating potential of image data and maintaining the current situation of geospatial data. With the development of remote-sensing earth observation technology, varieties of remote-sensing sensors for different tasks have emerged. Change detection is also diversified with the coming up of multi-resolution remote-sensing data, with advanced theories and techniques developed for continuously different sensors. This paper reviews the development of multi-temporal remote sen-sing image change detection technologies and summarizes the classification system of multi-temporal remote sensing image change detection. And the latest developments in change detection research are summarized from three aspects:pre-processing, change detection strategies and accuracy assessment. This paper also points out the challenges that change detection is facing and possible countermeasures, in the hope of deepening the research into change detection technology for remote sensing images. |
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