Framelet based pan-sharpening via a variational method

Pan-sharpening is a process of combining a low resolution multi-spectral (MS) image and a high resolution panchromatic (PAN) image to obtain a single high resolution MS image. In this paper, we propose two pan-sharpening methods based on the framelet framework. The first method, as a basic work, is...

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Veröffentlicht in:	Neurocomputing (Amsterdam) 2014-04, Vol.129, p.362-377
Hauptverfasser:	Fang, Faming, Zhang, Guixu, Li, Fang, Shen, Chaomin
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Approximation Artificial intelligence Computational efficiency Computer science control theory systems Earth, ocean, space Exact sciences and technology External geophysics Filled plastics Framelet High resolution Mathematical models Pan-sharpening Pattern recognition. Digital image processing. Computational geometry Remote sensing, photointerpretation Sparsity Spectra Split Bregman iteration Variational method Variational methods
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