Paper
16 June 2003 Large-aperture static imaging spectroscopy (LASIS)
Jianfeng Yang, Ping Ruan, Xiangli Bin, Baochang Zhao
Author Affiliations +
Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.467606
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
An imaging spectroscopy with new principle is presented in this paper. We call this imaging spectroscopy as LASIS (large aperture static imaging spectroscopy). The LASIS possesses the advantages of lighter weight and higher sensitivity. It can be widely used for the mitigation of natural disasters such as forest fire, earthquake and flood, for the general survey of crops distribution, insect pests and estimation the yield of crops. First, a brief depiction of Imaging Spectroscopy and its application is introduced in this paper. Second, Principle of LASIS is presented along with its main innovations and characteristics. Third, an instrument designed for testing its principle is introduced, which have 85 millimeters focal length, 4.2 degrees field of view, 1:8F number. At last, the experimental results with 100 numbers of spectral bands are given. We can conclude form the results that the LASIS can solve the energy problem of Dispersive imaging spectroscopy because it really have the advantages of high throughput and high sensitivity.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianfeng Yang, Ping Ruan, Xiangli Bin, and Baochang Zhao "Large-aperture static imaging spectroscopy (LASIS)", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.467606
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Imaging spectroscopy

Interferometers

Imaging systems

Shearing interferometers

Beam splitters

Fourier transforms

Sensors

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