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高光谱高空间分辨率遥感观测、处理与应用 被引量:4

Hyperspectral with high-spatial resolution remote sensing from observation,processing to applications
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摘要 高光谱遥感技术是遥感领域的研究热点之一。然而,由于成像口径与能量等限制因素,难以同时获得高光谱和高空间分辨率的图像,这极大限制了高光谱遥感在精细尺度任务中的应用。近年来,随着高光谱成像技术及无人机为代表的新型观测平台的发展,高光谱高空间(双高,同时具备纳米级光谱分辨率与亚米级空间分辨率)遥感技术发展迅猛,推动了高光谱遥感技术的应用,但同时也带来了更多问题。极高的空间与光谱分辨率使得数据更加海量高维,加剧了高光谱数据的空间异质性和光谱变异性,为影像智能信息处理带来更大的挑战。为此,本文将从双高遥感影像基准数据集、双高遥感影像智能信息处理、双高遥感影像典型应用3个方面论述双高遥感应用与发展现状。 Hyperspectral remote sensing has always been a research hotspot in the field of remote sensing.However,limited by imaging aperture and energy,it is difficult to obtain the imagery with hyperspectral and high spatial resolution at the same time,which greatly limits the application of hyperspectral remote sensing in fine-scale tasks.In recent years,with the development of hyperspectral imaging technology and new observation platforms represented by unmanned aerial vehicles,hyperspectral and high-spatial resolution(H^(2),with both nanometer spectral resolution and submeter spatial resolution)has developed rapidly,promoting the application of hyperspectral remote sensing technology,but at the same time,it has also brought more problems.The extremely high spatial and spectral resolution makes the data more massive and high-dimensional,increases the spatial heterogeneity and spectral variability of hyperspectral data,and brings greater challenges to intelligent image information processing.Therefore,this article reviews the application and development status of H^(2) remote sensing image from three aspects:H^(2) remote sensing image benchmark dataset,H^(2) remote sensing image intelligent information processing and typical application of H^(2) remote sensing image.
作者 钟燕飞 王心宇 胡鑫 王少宇 万瑜廷 唐舸 张良培 ZHONG Yanfei;WANG Xinyu;HU Xin;WANG Shaoyu;WAN Yuting;TANG Ge;ZHANG Liangpei(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510060,China;College of Agriculture and Life Sciences,Seoul National University,Seoul 151742,South Korea)
出处 《测绘学报》 EI CSCD 北大核心 2023年第7期1212-1226,共15页 Acta Geodaetica et Cartographica Sinica
基金 国家重点研发计划(2022YFB3903404,2022YFB3903502) 国家自然科学基金(42071350,42101327)。
关键词 高光谱高空间遥感 双高遥感基准数据集 双高遥感智能处理与应用 hyperspectral and high-spatial resolution remote sensing H^(2)remote sensing benchmark dataset intelligent processing and application of H^(2)remote sensing image
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