ARSIS概念的不同实现以满足用户需求

T. Ranchim, L. Wald
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引用次数: 5

摘要

需要以更高的空间分辨率模拟卫星多光谱数据的合成产品。用户的需求是可变的,并且在某种程度上是相反的:需要高空间分辨率来精确地描述物体的几何形状,需要高光谱分辨率来精确地描述光谱含量和随后的分类过程。ARSIS概念(来自其法语名称“improved de la resolution spatiale par injection de structures”,意思是通过结构注入来提高空间分辨率)允许通过融合两组数据(即高空间分辨率的全色图像和低空间分辨率的多光谱图像)来构建这种合成产品。它提供了一个框架,不同的模型可以组合成不同的解决方案,以更好地满足用户的需求。以比利时哈瑟尔特市的Ikonos形象为例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Different implementations of the ARSIS concept to fulfill users needs
There is a need for synthetic products that simulate satellite multispectral data at a higher spatial resolution. The users needs are variable and somehow opposite: needs of high spatial resolution for accurate geometrical description of objects and needs for high spectral resolution for accurate spectral content and subsequent classification process. The ARSIS concept (from its French name "amelioration de la resolution spatiale par injection de structures" that means improvement of the spatial resolution by structure injection) permits to construct such synthetic products by fusion of two sets of data, namely panchromatic images at high spatial resolution and multispectral images at lower spatial resolution. It offers a framework wherein different models can be combined to form different solutions to better satisfy the users needs. An example is given of an Ikonos image of the city of Hasselt, Belgium.
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