Fusion of multispectral and panchromatic satellite sensor imagery based on tailored filtering in the Fourier domain
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.
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Document Type: Research Article
Affiliations: Computer School, Department of Architecture and Technology of Computer, Technical University of Madrid, Campus Montegancedo, Boadilla del Monte, 28660 Madrid, Spain
Publication date: March 1, 2005