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Proceedings Paper

Visible and Near-Infrared Imaging Spectrometer (VNIS) For Chang E-3
Author(s): Zhiping He; Binyong Wang; Gang Lv; Chunlai Li; Liyin Yuan; Rui Xu; Kai Chen; Jianyu Wang
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Paper Abstract

To analyze the composition of lunar surface minerals, one of the scientific payloads of the Chang’E 3 Yutu rover, the Visible and Near-infrared Imaging Spectrometer (VNIS), was developed to detect lunar surface objects and to obtain their reflectance spectra and geometric images. The VNIS, which uses acousto-optic tunable filters as dispersive components, consists of a VIS/NIR imaging spectrometer (0.45-0.95 μm), a shortwave IR spectrometer (0.9-2.4 μm), and a calibration unit with dust-proofing functionality. It is capable of synchronously acquiring the full spectra of lunar surface objects and performing in-situ calibration. After landing successfully on the Moon, the VNIS performed several explorations and calibrations, and obtained several spectral images and spectral reflectance curves of the lunar soil in the Imbrium region. This paper introduces the VNIS, including its working principle, implementation, operation, and major specifications, as well as the initial scientific achievement of lunar surface exploration.

Paper Details

Date Published: 18 November 2014
PDF: 10 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92630D (18 November 2014); doi: 10.1117/12.2069193
Show Author Affiliations
Zhiping He, Shanghai Institute of Technical Physics (China)
Binyong Wang, Shanghai Institute of Technical Physics (China)
Gang Lv, Shanghai Institute of Technical Physics (China)
Chunlai Li, Shanghai Institute of Technical Physics (China)
Liyin Yuan, Shanghai Institute of Technical Physics (China)
Rui Xu, Shanghai Institute of Technical Physics (China)
Kai Chen, Shanghai Institute of Technical Physics (China)
Jianyu Wang, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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