Fusion of high spatial and spectral resolution images : The ARSIS concept and its implementation
Fusion of high spatial and spectral resolution images : The ARSIS concept and its implementation
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DOI：
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发表时间：
2000
影响因子：
1.3
通讯作者：
T. Ranchin;L. Wald
中科院分区：
文献类型：
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作者：
T. Ranchin;L. Wald
在遥感的各种应用中，当除了分类结果之外还需要高空间分辨率时，传感器融合是一种解决方案。从一组具有不同空间和光谱分辨率的图像中，目的是合成具有该组中最高空间分辨率和适当光谱内容的图像。存在几种传感器融合方法;它们中的大多数提高了空间分辨率，但提供了所得图像的光谱内容的质量差。基于信息的多分辨率建模，ARsIs概念[来自其法语名称“Am 6lioration de la R6 solution Spatiale par Injection de Structures”]的设计目的是提高空间分辨率以及合成图像光谱内容的高质量。一般情况下，这个概念的应用进行了说明。一个定量的比较，所有提出的方法实现了SPOT图像。给出了SPOTXS（20-m）和KVR-1000（2-m）图像融合的另一个例子。实用信息的小波变换，多分辨率分析，和ARSIS的概念，由从业者给出特别相关的SPOT和Landsat imagew。产品介绍
In various applications of remote sensing, when high spatial resolution is required in addition with classification results, sensorfusion is a solution. From a set of images with different spatial and spectral resolutions, the aim is to synthesize images with the highest spatial resolution available in the set and with an appropriate spectral content. Several sensor fusion methods exist; most of them improve the spatial resolution but provide poor quality of the spectral content of the resulting image. Based on a multiresolution modeling of the information, the ARsIs concept [from its French name "Am6lioration de la R6solution Spatiale par Injection de Structures") was designed with the aim of improving the spatial resolution together with a high quality in the spectral content ofthe synthesized images. The general case for the application of this concept is described. A quantitative comparison of all presented methods is achieved for a SPOT image. Another example of the fusion of SPOTXS (20-m) and KVR-1000 (2-m) images is given. Practical information for the implementation of the wavelet transform, the multiresolution analysis, and the ARSIS concept by practitioners is given with particular relevance to SPOT and Landsat imagew. lntroductlon