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A Multiresolution-Based Method for the Determination of the Relative Resolution between Images: First Application to Remote Sensing and Medical Images

机译:确定图像之间相对分辨率的基于多分辨率的方法:首次应用于遥感和医学图像

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Spatial resolution is a key parameter of all kind of images. This is of particular importance in fields as, for example, medicine or remote sensing. The nominal resolution of a positron emission tomography (PET) or nuclear magnetic resonance (NMR) scanners are directly related to the size, number, and position of the detectors in the scanner ring. Also, the nominal spatial resolution of the remote sensing satellites is a well-known characteristic because it is directly related to the area in ground that represents a pixel in the detector. Nevertheless, in practice, the actual resolution of a medical scanner image or of an image obtained from a satellite is difficult to know precisely because it depends of many other factors. However, if we have two or more images of the same region of interest, obtained using similar or different instruments, it is possible to compare the relative resolution between them. In this paper we propose a wavelet-decomposition-based method for the determination of the relative resolution between two images of the same area. The method can be applied, in principle, to any kind of images. As example, we applied the method to pairs of remote sensing and medical images. In the case of remote sensing, we computed the relative resolution between SPOT-3, LANDSAT-5 and LANDSAT-7 panchromatic and multispectral images taken under similar as well as under very different conditions. In the case of medical imaging, we computed the relative resolution between a pair of simultaneously obtained PET and NMR images of the same object. On the other hand, if we know the true absolute resolution of one of the images of the pair, we can compute the resolution of the other. Thus, in the last part of this paper, we describe a spatial calibrator that we have designed and constructed to help compute the absolute resolution of a single remotely sensed image, presenting an example Of its use.
机译:空间分辨率是所有图像的关键参数。这在例如医学或遥感领域中尤其重要。正电子发射断层扫描(PET)或核磁共振(NMR)扫描仪的标称分辨率与扫描仪环中检测器的尺寸,数量和位置直接相关。同样,遥感卫星的标称空间分辨率也是众所周知的特性,因为它直接与代表探测器中像素的地面区域有关。然而,实际上,由于其取决于许多其他因素,因此很难精确地知道医学扫描仪图像或从卫星获得的图像的实际分辨率。但是,如果我们有两个或多个使用相似或不同仪器获得的相同关注区域的图像,则可以比较它们之间的相对分辨率。在本文中,我们提出了一种基于小波分解的方法来确定同一区域的两幅图像之间的相对分辨率。该方法原则上可以应用于任何种类的图像。例如,我们将该方法应用于遥感和医学图像对。在遥感的情况下,我们计算了在相似以及非常不同的条件下拍摄的SPOT-3,LANDSAT-5和LANDSAT-7全色和多光谱图像之间的相对分辨率。在医学成像的情况下,我们计算了一对同时获得的同一物体的PET和NMR图像之间的相对分辨率。另一方面,如果我们知道这对图像中一个图像的真实绝对分辨率,则可以计算另一个图像的分辨率。因此,在本文的最后一部分中,我们描述了一种空间校准器,该校准器是我们设计和构造的,可帮助计算单个遥感图像的绝对分辨率,并举例说明其用途。

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