Technology and Methodology |
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Fully constrained linear-unmixing for inversion of lunar mineral abundance in Sinus Iridum |
ZHANG Qi1, LIU Fujiang1, LI Chan2, QIAO Le3, GUO Zhenhui1, CHAI Chunpeng1 |
1. Department of Remote Sensing Science and Technology, China University of Geosciences(Wuhan), Wuhan 430074, China;
2. Xinjiang Academy of Surveying and Mapping, Urumqi 830002, China;
3. Institute of Planetary Science, China University of Geosciences(Wuhan), Wuhan 430074, China |
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Abstract Quantitative inversion of the main lunar mineral abundance is an important issue in the field of lunar science, which has great guiding effect on lunar mineral information interpretation in the future. In this paper, a method of linear unmixing for hyperspectral remote sensing image is proposed to obtain the mineral abundance. Firstly, based on Hapke radiative transfer model, the authors transformed the non-linear mixed reflectance spectra into the linear mixed single scattering albedo of five end-member minerals (clinopyroxene, orthopyroxene, plagioclase, olivine and ilmenite) in the Relab spectral library, and then generated mixed pixels according to the linear proportion randomly; in this way, the statistical relationship models of mineral unmixing abundance and real abundance for the above five minerals can be established respectively based on fully constrained linear-unmixing method. The verification result with the data measured by Apollo sampling points indicates that the correlation coefficient between mineral abundances inversed and measured in Apollo of pyroxene, plagioclase, olivine and ilmenite are 0.83, 0.86, 0.72 and 0.77 respectively. With this method, the authors acquired the lunar mineral abundance distribution maps in Sinus Iridum using Chandrayaan-1 M3 hyperspectral data, which shows that the fully constrained linear-unmixing method is a kind of effective approach to mineral identification and inversion with hyperspectral data.
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Keywords
initial stage of exploitation
land use change
remote sensing monitoring
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Issue Date: 27 November 2015
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