Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification

Bui, Thanh Hai; Orberger, B.; Blancher, Simon B.; Mohammad-Djafari, Ali; Pillière, Henry; Salaün, Anne; Bourrat, Xavier; Maubec, Nicolas; Lefevre, Thomas; Rodriguez, Céline; Vaitkus, Antanas; Gražulis, S.; Duée, Cédric; Harang, Dominique; Wallmach, T.; Mendili, Yassine El; Chateigner, Daniel; Buxton, Michael; Guen, Monique Le

doi:10.1109/igarss.2018.8519131

Cited by 2 publications

(2 citation statements)

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“…For this reason, it is advisable to create a library of compounds from the sensor used; these sensor-specific spectra are then used to unmix the hyperspectral signal. This is called the sparse unmixing method [116][117][118].…”

Section: Quantitative Approachesmentioning

confidence: 99%

Theoretical Principles and Perspectives of Hyperspectral Imaging Applied to Sediment Core Analysis

et al. 2022

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Hyperspectral imaging is a recent technology that has been gaining popularity in the geosciences since the 1990s, both in remote sensing and in the field or laboratory. Indeed, it allows the rapid acquisition of a large amount of data that are spatialized on the studied object with a low-cost, compact, and automatable sensor. This practical article aims to present the current state of knowledge on the use of hyperspectral imaging for sediment core analysis (core logging). To use the full potential of this type of sensor, many points must be considered and will be discussed to obtain reliable and quality data to extract many environmental properties of sediment cores. Hyperspectral imaging is used in many fields (e.g., remote sensing, geosciences and artificial intelligence) and offers many possibilities. The applications of the literature will be reviewed under five themes: lake and water body trophic status, source-to-sink approaches, organic matter and mineralogy studies, and sedimentary deposit characterization. Afterward, discussions will be focused on a multisensor core logger, data management, integrated use of these data for the selection of sample areas, and other opportunities. Through this practical article, we emphasize that hyperspectral imaging applied to sediment cores is still an emerging tool and shows many possibilities for refining the understanding of environmental processes.

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Section: Quantitative Approachesmentioning

confidence: 99%

Theoretical Principles and Perspectives of Hyperspectral Imaging Applied to Sediment Core Analysis

et al. 2022

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“…spectral databases) for mineral identification and geological and building material classification are being constructed (e.g. Ilehag et al 2019;Fasnacht et al 2019;Bui et al 2018) mostly in the short-wave infrared range.…”

Section: Introductionmentioning

confidence: 99%

A comparison of ground-based hyperspectral imaging and red-edge multispectral imaging for façade material classification

Zahiri

Laefer

Kurz

et al. 2022

Automation in Construction

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Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification

Cited by 2 publications

References 6 publications

Theoretical Principles and Perspectives of Hyperspectral Imaging Applied to Sediment Core Analysis

Theoretical Principles and Perspectives of Hyperspectral Imaging Applied to Sediment Core Analysis

A comparison of ground-based hyperspectral imaging and red-edge multispectral imaging for façade material classification

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