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机构地区:[1]山东农业大学信息科学与工程学院,山东泰安271018
出 处:《测绘科学》2012年第2期115-118,共4页Science of Surveying and Mapping
基 金:国家自然科学基金项目(40271007);国家SRT项目(101043420)
摘 要:高光谱影像因其光谱分辨率高、波段多、信息量丰富等特点已经在许多领域得到了广泛的应用。本文对高光谱技术在矿山资源监测、土壤监测、植被监测、大气环境监测、水环境监测方面的应用,以及高光谱的分类识别技术研究进行了回顾与总结,并指出拓展高光谱技术的应用深度和广度、探讨定量反演建模新模式等问题,是进一步的研究趋势。Hyperspectral images have features such as high spectral resolution, multi-band and so on, so they are applied to many fields. This paper gave a review on the applications in mine resource monitoring, the soil monitoring, the vegetation monitoring, the atmospheric environmental monitoring and the water environment monitoring. The classification and recognition technology of hyperspectral technique was also presented, such as maximum likelihood classification, neural network classification, spectral angle mapping and fuzzy recognition classification, and it pointed out that expanding the application breadth and depth of hyperspectral tech- nique, and discussing quantitative inversion modeling would be the trends of further study.
分 类 号:P237.9[天文地球—摄影测量与遥感]
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