Multispectral and panchromatic data fusion assessment without reference
Multispectral and panchromatic data fusion assessment without reference
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DOI：
10.14358/pers.74.2.193
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发表时间：
2008-02-01
影响因子：
1.3
通讯作者：
Selva, Massimo
中科院分区：
文献类型：
--
作者：
Alparone, Luciano;Alazzi, Bruno;Selva, Massimo
本文介绍了一种新的方法来评价泛锐化多光谱（MS）图像的质量，而不诉诸参考原件。因此，在全色（PAN）传感器的最高空间分辨率下进行评估是可行的。Wang和Bovik的图像质量指数（QI）提供了两幅单色图像之间的统计相似性度量。在融合之前和之后计算任何一对MS波段之间的QI值，并用于定义光谱失真的测量。类似地，在融合之前和之后计算每个MS频带和PAN图像之间的QI值，以产生空间失真的测量。基本原理是这样的QI值在融合后应保持不变，即，当光谱信息从MS数据的粗略尺度转换到PAN图像的精细尺度时。非常高分辨率的Ikonos数据和模拟的昴宿星数据进行的实验结果表明，所提出的方法提供的结果是一致的，并与空间退化数据进行分析的趋势。然而，所提出的方法不需要参考原件，因此可以在所有实际情况下使用。
This paper introduces a novel approach for evaluating the quality of pansharpened multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are feasible at the highest spatial resolution of the panchromatic (PAN) sensor. Wang and Bovik's image quality index (QI) provides a statistical similarity measurement between two monochrome images. The QI values between any couple of MS bands are calculated before and after fusion and used to define a measurement of spectral distortion. Analogously, QI values between each MS band and the PAN image are calculated before and after fusion to yield a measurement of spatial distortion. The rationale is that such QI values should be unchanged after fusion, i.e., when the spectral in Formation is translated from the coarse scale of the MS data to the fine scale of the PAN image. Experimental results, carried out on very high-resolution Ikonos data and simulated Pleiades data, demonstrate that the results provided by the proposed approach are consistent and in trend with analysis performed on spatially degraded data. However, the proposed method requires no reference originals and is therefore usable in all practical cases.