A comparative analysis of image fusion methods

By Irfan Kösesoy, Abdulkadir Tepecik, M. Cetin, A. Mesut. Signal Processing and Communications Applications Conference, 2012

426 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/40b307b0673460f69850c28756a3231c5e245793

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Citations in the corpus

Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation (2016, methodology): “tral image by combining a low-resolution (LR) hyperspectral image with a HR panchromatic image (covering a large spectral window) [6], [7].”
Spatiotemporal Reflectance Fusion via Sparse Representation (2012, background): “…years have we witnessed the emergence of spatiotemporal reflectance fusion models for predicting an unknown HSR surface reflectance, based on its LSR counterpart at the prediction date (e.g., t2) and other HSR and LSR reflectance pairs at adjacent dates (e.g., t1 and t3, t1 t2 t3) [7]–[9].”
Multimodal Classification of Remote Sensing Images: A Review and Future Directions (2015, background): “A variety of image fusion schemes have been proposed in the remote sensing literature, concerning multisource data combination and support decision making [19], [24].”
Image fusion based on pixel significance using cross bilateral filter (2013, methodology): “Fusion of satellite images using multiscale wavelet analysis is proposed in Du et al. [15] and various image fusion methods available in the literature are compared in Wang et al. [16].”
A Critical Comparison Among Pansharpening Algorithms (2015, background): “Detailed surveys of pansharpening algorithms can be found in [1] and [5]–[7].”
Hyperspectral Super-Resolution by Coupled Spectral Unmixing (2015, background): “From the point of view of image processing, the problem is a special case of image fusion [24].”
A New Adaptive Component-Substitution-Based Satellite Image Fusion by Using Partial Replacement (2011, background): “weighted parameters for the formation of δ and the modulation coefficient wn [9], [30].”
A survey of classical methods and new trends in pansharpening of multispectral images (2011, methodology): “However, some papers partially address the classification of pansharpening methods, see [12] for instance, or relate already proposed techniques of more global paradigms [13-15].”