Martian South Polar Cap: Hyperspectral Classification Reference

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本套件包含由OMEGA仪器（Bibring, J.P.等，2004）于2004年1月观测火星南极冠得到的分类参考高光谱图像（hyperspectral image）。由于无可用地面真值，采用WAVANGLET方法（Schmidt, F.等，2007）得到的分类结果作为参考，并已被盲源分离（blind source separation）、物理辐射传输反演（physical radiative transfer inversion）等多项其他研究验证。 CONTENT ORB0041_1_V03.REF：OMEGA高光谱立方体二进制数据。该立方体已完成校准，以辐射因子（radiance factor，即辐射亮度/入射角余弦Radiance/cos(incidence)）为单位，包含气溶胶与CO₂气体的大气贡献。 ORB0041_1_V03.REF.hdr：OMEGA高光谱立方体ENVI头文件 ORB0041_1_V03.REF.lbl：OMEGA高光谱立方体PDS头文件 BBL-JADE-BPSS-ORB0041_1.txt：坏波段列表 ORB0041_1_V03.CUB_wavanglet_2_class：Wavanglet分类立方体二进制数据（第一波段对应水冰，第二波段对应CO₂冰，第三波段对应尘埃） ORB0041_1_V03.CUB_wavanglet_2_class.hdr：Wavanglet分类立方体ENVI头文件 ORB0041_1_V03.CUB_wavanglet_2_class.lbl：Wavanglet分类立方体PDS头文件 ORB0041_1_V03.CUB_wavanglet_2_class.bmp：彩色位图形式的Wavanglet分类立方体（红色代表CO₂存在，绿色代表尘埃存在，蓝色代表水冰存在） ORB0041_1_V03.CUB_wavanglet_2_totclass.roi：采用IDL/ENVI感兴趣区域（Region Of Interest, ROI）格式存储的分类结果 reference_spectra_H2Opur_CO2pur_DustAtmosphere.spec：参考光谱二进制数据（水冰为粒径100微米的合成数据，CO₂冰为粒径100毫米的合成数据，尘埃为图像中纯尘埃区域的OMEGA反射光谱） reference_spectra_H2Opur_CO2pur_DustAtmosphere.spec.hdr：参考光谱ENVI头文件（依次对应水冰、CO₂冰、尘埃） reference_spectra_H2Opur_CO2pur_DustAtmosphere.spec.pdf：参考光谱绘图文件（黑色为水冰，红色为CO₂冰，绿色为尘埃） Schmidt_Wavanglet_IEEETGRS2007.pdf：Schmidt, F.等，2007年相关学术论文 Moussaoui_JADE-BPSS_Neurocomp2008.pdf：Moussaoui, S.等，2008年相关学术论文 reference.bib：采用Bibtex格式存储的参考文献列表 以下为完整参考文献： 1. Bernard-Michel, C.; Douté, S.; Fauvel, M.; Gardes, L. & Girard, S. 《基于正则化切片逆回归反演OMEGA高光谱图像中的火星表面物理属性》，《地球物理学研究杂志》，美国地球物理联合会，2009，114，无页码，http://dx.doi.org/10.1029/2008JE003171 2. Bibring, J.-P.; Soufflot, A.; Berthe, M.; 等. OMEGA：矿物学、水、冰与活动观测台，《火星快车：科学载荷》，ESA SP-1240，2004，37-49 3. Douté, S.; Schmitt, B.; Langevin, Y.; 等. 《火星南极：火星快车OMEGA观测所得冰态地貌的性质与组成》，《行星与空间科学》，2007，55，113-133，http://dx.doi.org/10.1016/j.pss.2006.05.035 4. Moussaoui, S.; Hauksdóttir, H.; Schmidt, F.; 等. 《基于独立成分分析与贝叶斯正源分离的火星高光谱数据分解》，《神经计算》，2008，71，2194-2208，http://dx.doi.org/10.1016/j.neucom.2007.07.034 5. Schmidt, F.; Douté, S. & Schmitt, B. 《WAVANGLET：一种高效的高光谱图像监督分类器》，《IEEE地球科学与遥感汇刊》，2007，45，1374-1385，http://dx.doi.org/10.1109/TGRS.2006.890577