| 使用量子优化算法进行高光谱遥感影像处理综述 |
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| 引用本文： | 张良培,刘蓉,杜博.使用量子优化算法进行高光谱遥感影像处理综述[J].武汉大学学报(信息科学版),2018,43(12):1811-1818. |
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| 作者姓名： | 张良培 刘蓉 杜博 |
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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41431175 |
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| 摘 要： | 高光谱遥感技术从20世纪80年代出现以来，已迅速成为对地观测的重要组成部分，其影像信息提取是地物信息提取的主要数据来源。高光谱遥感影像除提供地物的空间信息之外，其成百上千个波段携带的光谱信息所提供的光谱诊断能力可以对地物目标进行精细化解译，大大增强了对地物信息的提取能力。充分利用高光谱遥感影像丰富的光谱信息对地物目标进行精细化解译成为近年来遥感领域的研究热点。对基于量子优化算法的高光谱遥感影像处理方法进行阐述，介绍了量子优化算法的发展与技术，并概括了其在高光谱遥感影像中的应用，并对量子优化算法在高光谱遥感影像处理中的应用发展提出建议和展望。
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| 关 键 词： | 高光谱图像处理 量子优化算法 异常探测 端元提取 亚像元制图 |
| 收稿时间： | 2018-08-14 |
Hyperspectral Remote Sensing Image Processing by Using Quantum Optimization Algorithm |
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| Institution: | 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2.School of Computer Science, Wuhan University, Wuhan 430072, China |
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| Abstract: | Hyperspectral remote sensing technology has become an important part of ground observation since the 1980s, and it is the main data source of information acquisition for ground objects. Hyperspectral image (HSIs) not only contains spatial information, but also contains abundant spectral information with tens to hundreds of contiguous spectral bands. The abundant spectral information of HSIs can help us better identify ground objects, which has greatly improved our ability to qualitatively and quantitatively sense the earth's surface. It has been intensively researched to make full use of both spatial and spectral information of HSIs, so as to accurately obtain the information of ground objects. This paper reviews quantum optimization algorithm-based hyperspectral image processing me-thods. The development and methodology of quantum optimization algorithm as well as its application in hyperspectral image processing are introduced. And some suggestion and expectation for further study of the quantum optimization algorithm-based hyperspectral image processing are given. |
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