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Pixel-level image fusion for archaeological interpretative mapping

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Abstract
This article reports on the current capabilities and future developments of TAIFU, a MATLAB Toolbox for Archaeological Image FUsion. After introducing the need for archaeological image fusion and the benefits it can bring for the interpretation of archaeological image data, the paper briefly explains some of the major fusion methods that are embedded in TAIFU. Afterwards, additional functionality such as metadata tracking and various pre- and post-processing steps are detailed. The paper concludes with a short roadmap of future TAIFU developments.
Keywords
Image blending, Image fusion, Distribution fitting, DIP, Archaeological prospection, Data fusion, MATLAB, Pansharpening, Remote sensing, TAIFU

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MLA
Verhoeven, Geert, et al. “Pixel-Level Image Fusion for Archaeological Interpretative Mapping.” 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation, edited by José Luís Lerma and Miriam Cabrelles, Editorial Universitat Politècnica de València, 2016, pp. 404–07.
APA
Verhoeven, G., Nowak, M., & Nowak, R. (2016). Pixel-level image fusion for archaeological interpretative mapping. In J. L. Lerma & M. Cabrelles (Eds.), 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation (pp. 404–407). Valencia: Editorial Universitat Politècnica de València.
Chicago author-date
Verhoeven, Geert, Milena Nowak, and Rebecca Nowak. 2016. “Pixel-Level Image Fusion for Archaeological Interpretative Mapping.” In 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation, edited by José Luís Lerma and Miriam Cabrelles, 404–7. Valencia: Editorial Universitat Politècnica de València.
Chicago author-date (all authors)
Verhoeven, Geert, Milena Nowak, and Rebecca Nowak. 2016. “Pixel-Level Image Fusion for Archaeological Interpretative Mapping.” In 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation, ed by. José Luís Lerma and Miriam Cabrelles, 404–407. Valencia: Editorial Universitat Politècnica de València.
Vancouver
1.
Verhoeven G, Nowak M, Nowak R. Pixel-level image fusion for archaeological interpretative mapping. In: Lerma JL, Cabrelles M, editors. 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Valencia: Editorial Universitat Politècnica de València; 2016. p. 404–7.
IEEE
[1]
G. Verhoeven, M. Nowak, and R. Nowak, “Pixel-level image fusion for archaeological interpretative mapping,” in 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation, Valencia, Spain, 2016, pp. 404–407.
@inproceedings{8069670,
  abstract     = {{This article reports on the current capabilities and future developments of TAIFU, a MATLAB Toolbox for Archaeological Image FUsion. After introducing the need for archaeological image fusion and the benefits it can bring for the interpretation of archaeological image data, the paper briefly explains some of the major fusion methods that are embedded in TAIFU. Afterwards, additional functionality such as metadata tracking and various pre- and post-processing steps are detailed. The paper concludes with a short roadmap of future TAIFU developments.}},
  author       = {{Verhoeven, Geert and Nowak, Milena and Nowak, Rebecca}},
  booktitle    = {{8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation}},
  editor       = {{Lerma, José Luís and Cabrelles, Miriam}},
  isbn         = {{978-84-9048-455-5}},
  keywords     = {{Image blending,Image fusion,Distribution fitting,DIP,Archaeological prospection,Data fusion,MATLAB,Pansharpening,Remote sensing,TAIFU}},
  language     = {{eng}},
  location     = {{Valencia, Spain}},
  pages        = {{404--407}},
  publisher    = {{Editorial Universitat Politècnica de València}},
  title        = {{Pixel-level image fusion for archaeological interpretative mapping}},
  year         = {{2016}},
}