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-  2018 

使用量子优化算法进行高光谱遥感影像处理综述
Hyperspectral Remote Sensing Image Processing by Using Quantum Optimization Algorithm

DOI: 10.13203/j.whugis20180231

Keywords: 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,
hyperspectral image processing
,quantum optimization algorithm,anomaly detection,endmember extraction,subpixel mapping

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Abstract:

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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