Mapping Lunar global chemical composition from Chang'E-1 IIM data

Yan, Bin; Xiong, S. Q.; Wu, Yunzhao; Wang, Zhenchao; Dong, Lijun; Gan, Fuping; Yang, Shuxing; Wang, Runsheng

doi:10.1016/j.pss.2012.03.010

Cited by 25 publications

(18 citation statements)

References 52 publications

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“…However, the information contained in the first and last few bands is quite valuable. For example, the 31th band (918.1nm) is used to replace the last band (946.6nm) to map the global distribution of chemical composition from IIM data [2], although the last band is the nearest band to the 950nm band applied in Clementine data. Furthermore, we illustrate the comparison of image quality of the last band using the three methods respectively.…”

Section: Signal-to-noise Experimentsmentioning

confidence: 99%

“…Imaging Interferometer (IIM), as one of the eight scientific payloads embarked on Chang'e-1, is a Fourier transform Sagnac-based imaging spectrometer with goals to analyze and map the abundance and distribution of various chemical elements on the lunar surface [1]. IIM data has already shown its potentials in lunar elemental mappings and geologic studies [2][3][4][5][6]. However, IIM's spectral data suffers from several degradation problems.…”

Section: Introductionmentioning

confidence: 99%

“…The first and last few bands has poor SNRs which reduces the usability of IIM data. In some previous study, the degraded bands are often discarded [2,3].…”

Section: Introductionmentioning

confidence: 99%

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Spectrum reconstruction for Chang'e-1 imaging interferometer data using modified periodogram method

Zhu¹,

Liu²,

Ren³

et al. 2017

Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 20

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Imaging Interferometer (IIM) aboard on Chang'e-1 is a Fourier transform imaging spectroscopy. Spectrum reconstruction which converts raw interferometric data to spectral data is crucial to the signal-to-noise (SNR) property and spectral consistency, thus influences the usability of IIM data. Three modified periodogram method including periodogram with rectangular window (PRW), periodogram with triangular window (PTW) and Bartlett method are introduced for the spectrum reconstruction. We use the Spectral and Spatial Decorrelation method to calculate the SNRs , and use Apollo samples to calibrate the spectrum and validate the spectral consistency of the three methods. Experimental results showed that Bartlett method had better performance in both SNR and spectral consistency than other two methods.

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Section: Signal-to-noise Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectrum reconstruction for Chang'e-1 imaging interferometer data using modified periodogram method

Zhu¹,

Liu²,

Ren³

et al. 2017

Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 20

View full text Add to dashboard Cite

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“…Therefore, the georeferenced CE-1 IIM data, with the ground sampling distance 200 m, are used as the input data cube in this paper. The CE-1 IIM is an interference imaging spectrometer covering a wavelength range of 0.48-0.95 μm with a spectral resolution of 325.6 cm −1 (Yan et al 2012).…”

Section: International Journal Of Remote Sensing 7289mentioning

confidence: 99%

“…The payloads of the satellites working for lunar exploration usually employ one or more imaging spectrometers, which provide a substantial number of key data for the research of lunar geology and chemistry (Ohtake et al 2009;Yan et al 2012;Pieters et al 2009). In the Chang'e-3 (CE-3) project, a rover landed on the lunar surface and performed in situ detections.…”

Section: Introductionmentioning

confidence: 99%

End-to-end simulation model of rover-based hyperspectral remote-sensing systems: application to VNIS

Tao

Jia

Zhao

2014

International Journal of Remote Sensing

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The simulation of remote-sensing hyperspectral images has various applications such as the design of future hyperspectral imaging systems, understanding of the image formation process, development and validation of data processing algorithms, and optimization of the instrument imaging mode. For incomplete understanding of the lunar surface and the wide environmental differences between earth and moon observation, imaging systems for lunar observation cannot be tested in their exact working environments before launch. In these cases, simulation of lunar hyperspectral images can be used as a powerful tool to analyse the imaging process on the moon. The VIS-NIR imaging spectrometer (VNIS) aboard the Chang'e-3 (CE-3) lunar rover is used to perform in situ mineral detection on the lunar surface, but the rover-based VNIS has some additional effects from the rover itself (e.g. the shadow caused by the rover). In this paper, a rover-based radiative transfer model has been developed, and the simulation model is able to generate realistic VNIS-like data in an automatic way under a set of user-driven instrument and illumination parameters. A realistic surface reflectance cube, as the original input for the simulation model, is provided by the interference imaging spectrometer (IIM) data of Chang'e-1 (CE-1). Several hyperspectral simulations in different illumination and observation geometries have been conducted to analyse the effects of shadow, specular irradiance, and diffuse irradiance on the imaging data. For certain illumination geometries, the simulation model can forecast image quality in different observation geometries; the model can also determine the optimal observation azimuth ranges at different solar elevation angles. Moreover, the simulation model can be used to provide test images for the rover effect elimination algorithms. These applications of the model can facilitate understanding by analysing the rover-based hyperspectral remote-sensing process and eventually obtaining highquality images of the lunar surface.

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Effects of slightly rough surfaces on the brightness temperature of the lunar regolith

Chen

Huang

et al. 2013

Radio Science

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[1] Keihm [1984] made a study on the effects of the rough lunar surface on microwave brightness temperature using geometric optics (GO), which is valid only when the microwave wavelength is much smaller than the radius of curvature of the rough surface. This approach is deficient because it has no explicit wavelength dependence. The Chang'E-1 Lunar Orbiter carried out lunar microwave remote sensing of maria where the surface can be regarded as "slightly" rough, and this has motivated our study. We model the mare regolith as a multilayer planar layered media with a slightly rough top surface, and the temperature profile is retrieved by solving the heat conduction equation. The noncoherent method is utilized to calculate the emission of the multilayer media. To calculate the effect of the rough top surface on brightness temperatures, we use the bistatic transmission coefficients by applying the second-order small perturbation method. Using this model, the microwave brightness temperatures of the Apollo 12 area under different roughness conditions are calculated. It is shown that a slightly rough surface will increase or decrease the microwave radiative brightness temperature of the lunar regolith and that the change is related to the roughness, incidence angle, frequency, and polarization. In the case of measurements made by the Chang'E-1 microwave radiometer, where the incidence angle is 0 , the small-scale roughness will increase the brightness temperature of the lunar regolith.

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Mapping Lunar global chemical composition from Chang'E-1 IIM data

Cited by 25 publications

References 52 publications

Spectrum reconstruction for Chang'e-1 imaging interferometer data using modified periodogram method

Spectrum reconstruction for Chang'e-1 imaging interferometer data using modified periodogram method

End-to-end simulation model of rover-based hyperspectral remote-sensing systems: application to VNIS

Effects of slightly rough surfaces on the brightness temperature of the lunar regolith

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