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Multiresolution based, multisensor, multispectral image fusion.

机译:基于多分辨率,多传感器,多光谱的图像融合。

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摘要

Spaceborne sensors, which collect imagery of the Earth in various spectral bands, are limited by the data transmission rates. As a result the multispectral bands are transmitted at a lower resolution and only the panchromatic band is transmitted at its full resolution. The information contained in the multispectral bands is an invaluable tool for land use mapping, urban feature extraction, etc. However, the limited spatial resolution reduces the appeal and value of this information.; Pan sharpening techniques enhance the spatial resolution of the multispectral imagery by extracting the high spatial resolution of the panchromatic band and adding it to the multispectral images. There are many different pan sharpening methods available like the ones based on the Intensity-Hue-Saturation and the Principal Components Analysis transformation. But these methods cause heavy spectral distortion of the multispectral images. This is a drawback if the pan sharpened images are to be used for classification based applications.; In recent years, multiresolution based techniques have received a lot of attention since they preserve the spectral fidelity in the pan sharpened images. Many variations of the multiresolution based techniques exist. They differ based on the transform used to extract the high spatial resolution information from the images and the rules used to synthesize the pan sharpened image. The superiority of many of the techniques has been demonstrated by comparing them with fairly simple techniques like the Intensity-Hue-Saturation or the Principal Components Analysis. Therefore there is much uncertainty in the pan sharpening community as to which technique is the best at preserving the spectral fidelity. This research investigates these variations in order to find an answer to this question.; An important parameter of the multiresolution based methods is the number of decomposition levels to be applied. It is found that the number of decomposition levels affects both the spatial and spectral quality of the pan sharpened images. The minimum number of decomposition levels required to fuse the multispectral and panchromatic images was determined in this study for image pairs with different resolution ratios and recommendations are made accordingly.
机译:收集各种光谱带的地球图像的星载传感器受到数据传输速率的限制。结果,多光谱带以较低的分辨率被发送,并且仅全色带以其全分辨率被发送。多光谱波段中包含的信息对于土地利用制图,城市特征提取等是非常宝贵的工具。然而,有限的空间分辨率降低了该信息的吸引力和价值。平移锐化技术通过提取全色带的高空间分辨率并将其添加到多光谱图像中来增强多光谱图像的空间分辨率。有许多不同的平移锐化方法可用,例如基于强度-色相-饱和度和主成分分析转换的方法。但是这些方法导致多光谱图像的严重光谱失真。如果将平移锐化的图像用于基于分类的应用程序,则这是一个缺点。近年来,基于多分辨率的技术在平移锐化图像中保留了光谱保真度,因此备受关注。存在基于多分辨率的技术的许多变体。它们基于用于从图像中提取高空间分辨率信息的变换和用于合成平移锐化图像的规则而有所不同。通过与强度,色相饱和度或主成分分析等相当简单的技术进行比较,已证明了许多技术的优越性。因此,对于哪种技术最能保持光谱保真度,泛锐化社区存在很多不确定性。本研究调查了这些变化,以便找到该问题的答案。基于多分辨率的方法的重要参数是要应用的分解级别数。发现分解级别的数量会影响平移锐化图像的空间和光谱质量。在这项研究中,对于具有不同分辨率比的图像对,确定了融合多光谱和全色图像所需的最小分解级别数,并据此提出了建议。

著录项

  • 作者

    Pradhan, Pushkar.;

  • 作者单位

    Mississippi State University.;

  • 授予单位 Mississippi State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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