文章基本信息

标题：New Quality Representation for Hyperspectral Images
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作者：Emmanuel Christophe ; Dominique Léeger ; Corinne Mailhes 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：315-320
出版社：Copernicus Publications
摘要：Assessing the quality of a hyperspectral image is a difficult task. However, this assessment is required at different levels of the instrument design: evaluation of the signal to noise ratio necessary for a particular application, determining the acceptable level of losses from compression algorithms for example. It has been shown previously that a combination of five quality criteria can provide a good evaluation of the impact of some degradation on applications, such as classification algorithms for example. This paper refines this concept, providing a representation of the degradation which allow s predicting the impact on applications
关键词：Hyperspectral; quality criteria; evaluation; compression