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Martian South Polar Cap: Hyperspectral Classification Reference

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Mendeley Data2024-01-31 更新2024-06-27 收录
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This kit contains a classified reference hyperspectral image from the OMEGA instrument (Bibring, J.P., et al., 2004) observing the South Polar Cap of Mars in January 2004. Without any available ground truth, the classification using the WAVANGLET method (Schmidt, F., et al, 2007) is used as a reference and has been confirmed by several other studies such blind source separation (Moussaoui, S., et al., 2008) and physical radiative transfer inversion (Douté, S. , et al., 2007 ; Bernard-Michel, C., 2009). CONTENT ORB0041_1_V03.REF: OMEGA hyperspectral cube binary data. This cube is calibrated and express in radiance factor (Radiance/cos(incidence)) and contain atmospheric contribution of aerosols and CO2 gas. ORB0041_1_V03.REF.hdr: OMEGA hyperspectral cube ENVI header ORB0041_1_V03.REF.lbl: OMEGA hyperspectral cube PDS header BBL-JADE-BPSS-ORB0041_1.txt: Bad band list ORB0041_1_V03.CUB_wavanglet_2_class: Wavanglet classification cube binary data (first band = water ice, second band = CO2 ice, third band = dust) ORB0041_1_V03.CUB_wavanglet_2_class.hdr: Wavanglet classification cube ENVI header ORB0041_1_V03.CUB_wavanglet_2_class.lbl: Wavanglet classification cube PDS header ORB0041_1_V03.CUB_wavanglet_2_class.bmp: Wavanglet classification cube in color bitmap (Red = presence of CO2, Green = presence of dust, Blue = presence of water ice) ORB0041_1_V03.CUB_wavanglet_2_totclass.roi: Classification in IDL/ENVI Region Of Interest format reference_spectra_H2Opur_CO2pur_DustAtmosphere.spec: Reference Spectra binary data (water ice = synthetic data with grain size =100 microns, CO2 ice = synthetic data with grain size = 100 mm, dust = OMEGA reflectance spectra of a pure dust aera in the image) reference_spectra_H2Opur_CO2pur_DustAtmosphere.spec.hdr: Reference Spectra ENVI header (water ice, CO2 ice, dust) reference_spectra_H2Opur_CO2pur_DustAtmosphere.spec.pdf: Plot of the reference spectra (black = water ice, red =CO2 ice, green = dust) Schmidt_Wavanglet_IEEETGRS2007.pdf: article Schmidt, F., et al, 2007 Moussaoui_JADE-BPSS_Neurocomp2008.pdf: article -Moussaoui, S., et al., 2008 reference.bib: Bibliographic reference in bibtex format REFERENCE Bernard-Michel, C.; Douté, S.; Fauvel, M.; Gardes, L. & Girard, S. Retrieval of Mars surface physical properties from OMEGA hyperspectral images using regularized sliced inverse regression J. Geophys. Res., American Geophysical Union, 2009, 114, -, http://dx.doi.org/10.1029/2008JE003171 Bibring, J.-P.; Soufflot, A.; Berthe, M.; Langevin, Y.; Gondet, B.; Drossart, P.; Bouye, M.; Combes, M.; Puget, P.; Semery, A.; Bellucci, G.; Formisano, V.; Moroz, V.; Kottsov, V.; Bonello, G.; Erard, S.; Forni, O.; Gendrin, A.; Manaud, N.; Poulet, F.; Poulleau, G.; Encrenaz, T.; Fouchet, T.; Melchiori, R.; Altieri, F.; Ignatiev, N.; Titov, D.; Zasova, L.; Coradini, A.; Capacionni, F.; Cerroni, P.; Fonti, S.; Mangold, N.; Pinet, P.; Schmitt, B.; Sotin, C.; Hauber, E.; Hoffmann, H.; Jaumann, R.; Keller, U.; Arvidson, R.; Mustard, J. & Forget, F., OMEGA: Observatoire pour la Mineralogie, l'Eau, les Glaces et l'Activite, ESA SP-1240: Mars Express: the Scientific Payload, 2004, 37-49 Douté, S.; Schmitt, B.; Langevin, Y.; Bibring, J.-P.; Altieri, F.; Bellucci, G.; Gondet, B.; Poulet, F. & the MEX OMEGA team South Pole of Mars: Nature and composition of the icy terrains from Mars Express OMEGA observations Planetary and Space Science, 2007, 55, 113-133, http://dx.doi.org/10.1016/j.pss.2006.05.035 Moussaoui, S.; Hauksdóttir, H.; Schmidt, F.; Jutten, C.; Chanussot, J.; Brie, D.; Douté, S. & Benediktsson, J. On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation Neurocomputing, Neurocomputing for Vision Research; Advances in Blind Signal Processing, 2008, 71, 2194-2208, http://dx.doi.org/10.1016/j.neucom.2007.07.034 Schmidt, F.; Douté, S. & Schmitt, B. WAVANGLET: An Efficient Supervised Classifier for Hyperspectral Images Geoscience and Remote Sensing, IEEE Transactions on, 2007, 45, 1374-1385, http://dx.doi.org/10.1109/TGRS.2006.890577
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2024-01-31
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