Fusion of multispectral and panchromatic satellite sensor imagery based on tailored filtering in the Fourier domain
Fusion of multispectral and panchromatic satellite sensor imagery based on tailored filtering in the Fourier domain
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DOI：
10.1080/01431160412331330239
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发表时间：
2005-03
影响因子：
3.4
通讯作者：
M. Lillo-Saavedra;C. Gonzalo;A. Arquero;E. Martínez
中科院分区：
文献类型：
--
作者：
M. Lillo-Saavedra;C. Gonzalo;A. Arquero;E. Martínez
提出了一种基于傅里叶域定制滤波的卫星传感器图像融合新方法。有限持续时间脉冲响应（FIR）滤波器通过客观标准设计，仅取决于源图像特性。所设计的滤波器允许分别对精细空间分辨率图像（PAN）和多光谱图像（MULTI）中包含的信息进行加权融合，从而在所得到的融合图像的空间和光谱质量之间建立权衡。这项新技术已经在Landsat Enhanced Thematic Mapper Plus （ETM+）图像上进行了测试。将融合图像的空间和光谱质量与Mallat小波算法的结果进行比较。该方法融合的图像具有与PAN图像非常接近的空间分辨率和与MULTI图像相似的光谱分辨率。
A new methodology for fusing satellite sensor imagery, based on tailored filtering in the Fourier domain is proposed. Finite‐duration Impulse Response (FIR) filters have been designed through an objective criterion, which depends on source image characteristics only. The designed filters allow a weighted fusion of the information contained in a fine spatial resolution image (PAN) and in a multispectral image (MULTI), respectively, establishing a trade‐off between spatial and spectral quality of the resulting fused image. This new technique has been tested with Landsat Enhanced Thematic Mapper Plus (ETM+) imagery. Spatial and spectral quality of the fused images was compared with the results provided by Mallat's Wavelet algorithm. The images fused by the proposed method were characterized by a spatial resolution very close to the PAN image, and by the spectral resolution of the MULTI image.