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Proceedings Paper

Spectral reflectance inversion with high accuracy on green target
Author(s): Le Jiang; Jinping Yuan; Yong Li; Tingzhu Bai; Shuoqiong Liu; Jianzhou Jin; Jiyun Shen
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Paper Abstract

Using Landsat-7 ETM remote sensing data, the inversion of spectral reflectance of green wheat in visible and near infrared waveband in Yingke, China is studied. In order to solve the problem of lower inversion accuracy, custom atmospheric conditions method based on moderate resolution transmission model (MODTRAN) is put forward. Real atmospheric parameters are considered when adopting this method. The atmospheric radiative transfer theory to calculate atmospheric parameters is introduced first and then the inversion process of spectral reflectance is illustrated in detail. At last the inversion result is compared with simulated atmospheric conditions method which was a widely used method by previous researchers. The comparison shows that the inversion accuracy of this paper’s method is higher in all inversion bands; the inversed spectral reflectance curve by this paper’s method is more similar to the measured reflectance curve of wheat and better reflects the spectral reflectance characteristics of green plant which is very different from green artificial target. Thus, whether a green target is a plant or artificial target can be judged by reflectance inversion based on remote sensing image. This paper’s research is helpful for the judgment of green artificial target hidden in the greenery, which has a great significance on the precise strike of green camouflaged weapons in military field.

Paper Details

Date Published: 19 September 2016
PDF: 9 pages
Proc. SPIE 9976, Imaging Spectrometry XXI, 99760O (19 September 2016); doi: 10.1117/12.2229466
Show Author Affiliations
Le Jiang, China National Petroleum Corp. (China)
Jinping Yuan, China National Petroleum Corp. (China)
Yong Li, China National Petroleum Corp. (China)
Tingzhu Bai, Beijing Institute of Technology (China)
Shuoqiong Liu, China National Petroleum Corp. (China)
Jianzhou Jin, China National Petroleum Corp. (China)
Jiyun Shen, China National Petroleum Corp. (China)

Published in SPIE Proceedings Vol. 9976:
Imaging Spectrometry XXI
John F. Silny; Emmett J. Ientilucci, Editor(s)

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