Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images

By Shutao Li, James T. Kwok, Yaonan Wang. Information Fusion, 2002

345 citations recorded by the source corpus.

Subfields: Atmospheric Science, Media Technology

View Paper: https://www.semanticscholar.org/paper/7e43965d765eabae525b6991d6a83f5d30f52e0a

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In Atmospheric Science

In Media Technology

Citations in the corpus

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “…in a uniaxial nematic liquid crystal is given by: H ¼ X l m l I Z;l þ X l<m J lm I l Á I m þ X l<m D lm ð3I Z;l I Z;m À I l Á I m Þ ð1Þ where m l is the resonance frequency of nucleus l and J lm and D lm are the indirect spin–spin and the direct dipole–dipole couplings between nuclei l and m.”
Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries (2013, methodology): “The wavelet transform (WT)-based methods are the representative methods [6], [7].”
Performance comparison of different multi-resolution transforms for image fusion (2011, methodology): “With the development of different transform bases, many kinds of multi-resolution transforms have been proposed and used for image fusion, including the pyramid decomposition [4,5,13], discrete wavelet (DWT) [6–8,14], stationary wavelet (SWT) [15,16], dual-tree complex wavelet (DTCWT) [18–21], curve”
Image fusion: Advances in the state of the art (2007, neutral): “Pixel-level algorithms work either in the spatial domain [20,21] or in the transform domain [6,11,22].”
Remote sensing image fusion using the curvelet transform (2007, background): “…Laplacian pyramid (GLP) [9] matching even fractional scale ratios between the images to be fused, the undecimated discrete wavelet transform (UDWT) [10], and the ''a ` trous'' wavelet transform (ATWT) [11] have been found to be particularly suitable for image fusion thanks to their…”
Pixel-level image fusion: A survey of the state of the art (2017, methodology): “…and region[13] based activity level measurement, choose-max[28], optimization based method[36], weighted-average[4, 37, 38], and substitution[12, 15] based coeﬃ-cients combining, window and region based consistency veriﬁcation[5, 39], cross-scale fusion rule [40], guided ﬁltering based…”
A wavelet-based image fusion tutorial (2004, neutral): “[45], [46] or [47].”