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Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics

机译:高空间分辨率的多光谱图像合成:基于遥感物理的融合方法的综述

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Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A fused product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes—different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the AmÉlioration de la RÉsolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into fused products and offers a reliable framework for further developments.
机译:我们的框架是在更高的空间分辨率下合成多光谱图像(MS),如果它们具有这种高分辨率,则它们应尽可能接近相应传感器所采集的图像。借助高空间但低光谱分辨率的图像(全色(Pan)图像)执行此合成。 Pan和MS图像的融合通常称为泛锐化。仅考虑输入图像之间的特性和差异,融合产品才能达到高质量。这两个数据集之间存在差异的原因有两个:时间不同和采集的光谱带不同。在设计融合过程时,应仔细考虑遥感物理学。由于物理学的复杂性和未知数众多,导致作者做出假设以推动其发展。每种已报道方法的弱点和优点都被提出并面对这些物理限制。这项对文献的批判性调查得出的结论是,在开发方法的假设中进行选择至关重要,并且可能会大大削弱融合性能。还表明,AmÉliorationde laRésolution空间注入结构的概念可防止将光谱失真引入熔融产品,并为进一步开发提供可靠的框架。

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