End-to-end simulations to optimize imaging spectroscopy mission requirements for seven scientific applications

Autor: Briottet, X., Adeline, K., Bajjouk, T., Carrère, V., Chami, M., Constans, Y., Derimian, Y., Dupiau, A., Dumont, M., Doz, S., Fabre, S., Foucher, P.Y., Herbin, H., Jacquemoud, S., Lang, M., Le Bris, A., Litvinov, P., Loyer, S., Marion, R., Minghelli, A., Miraglio, T., Sheeren, D., Szymanski, B., Romand, F., Desjardins, C., Rodat, D., Cheul, B.

Publikováno v: In ISPRS Open Journal of Photogrammetry and Remote Sensing April 2024 12

Mineral Identification And Characterization: An Integrated Approach To Recover Mineralogical Information From Hyperspectral Images

Autor: Rialland, Ronan, Marion, Rodolphe, Carrere, V., Soussen, Charles, Poli, Jean-Philippe

Publikováno v: 11th EARSeL SIG IS Workshop
11th EARSeL SIG IS Workshop, Feb 2019, Brno, Czech Republic., 2019
11th EARSeL SIG IS Workshop, Feb 2019, Brno, Czech Republic. 2019

International audience; Mineral mapping and soil analysis, from airborne or satellite sensors, are two growing topics for the study of environmental issues and the evaluation of the geological interest of large areas. For example, it can provide impo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1560fb3d0e9485d99c6be956685eec85
https://centralesupelec.hal.science/hal-02861548

Mineral Mapping Using the Automatized Gaussian Model (AGM)—Application to Two Industrial French Sites at Gardanne and Thann

Autor: Carrere, V., Marion, Rodolphe, Carrère, Véronique

Publikováno v: Remote Sensing
Remote Sensing, MDPI, 2018, 10 (1), pp.146. ⟨10.3390/rs10010146⟩
Remote Sensing, Vol 10, Iss 1, p 146 (2018)
Remote Sensing, 2018, 10 (1), pp.146. ⟨10.3390/rs10010146⟩

The identification and mapping of the mineral composition of by-products and residues on industrial sites is a topic of growing interest because it may provide information on plant-processing activities and their impact on the surrounding environment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8812612c0c1412e1dd6f4294be8811c0
http://hal.univ-nantes.fr/hal-02481416/file/remotesensing-10-00146.pdf

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