Revealing Hidden Art : Authenticating And Unveiling Neolithic Rock Paintings Through Advanced Hyperspectral Imaging Techniques
Raita-Hakola, A.-M., Rahkonen, S., & Pölönen, I. (2024). Revealing Hidden Art : Authenticating And Unveiling Neolithic Rock Paintings Through Advanced Hyperspectral Imaging Techniques. In IGARSS 2024 : 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 8064-8068). IEEE. IEEE International Geoscience and Remote Sensing Symposium proceedings. https://doi.org/10.1109/IGARSS53475.2024.10640641
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2024Access restrictions
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© 2024 IEEE
Finnish rock paintings from Neolithic Stone Age are located on open-air bedrock panels, being subject to the effects biotic and climatic influences. Consequently, these paintings have predominantly faded and are challenging to discern. Through hyperspectral (HS) imaging and computational unmixing methods, both the delineation of these drawings and the identification of their pigments can be enhanced. In this study, we developed an unmixing method for detecting hematite and compared various techniques for delineating figures from HS images captured from Halsvuori rock painting. The results indicate that HS cameras combined with unmixing methods can successfully identify pigments and render the figures more discernible than before.
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IEEEParent publication ISBN
979-8-3503-6033-2Conference
IEEE International Geoscience and Remote Sensing SymposiumIs part of publication
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2153-6996Keywords
art source coding geoscience and remote sensing pigments rocks cameras painting Neolithic hyperspectral data influence of climate unmixing methods spatial resolution total variance small animal final feature spectral imaging kernel weight human figure Fennoscandia pigment analysis combination of spectra spectral unmixing convolutional autoencoder authentic assessment pure pixels white target hyperspectral imaging scandinavian rock paintings hyperspektrikuvantaminen neoliittinen kausi pigmentit (värijauheet) kalliomaalaukset spektrikuvaus
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https://converis.jyu.fi/converis/portal/detail/Publication/243295703
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