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Proceedings Paper

Study of data preprocess for HJ-1A satellite HSI image
Author(s): Hail-liang Gao; Xing-fa Gu; Tao Yu; Hua-ying He; Ling-ya Zhu; Feng Wang
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Paper Abstract

Hyper Spectral Imager (HSI) is the first Chinese space-borne hyperspectral sensor aboard the HJ-1A satellite. We have developed a data preprocess flow for HSI images, which includes destriping, atmospheric correction and spectral filtering. In this paper, the product level of HSI image was introduced in the beginning, and a destriping method for HSI level 2 images was proposed. Then an atmospheric correction method based on radiative transfer mechanism was summarized to retrieve ground reflectance from HSI image. Furthermore, a new spectral filter method for ground reflectance spectra after atmospheric correction was proposed based on reference ground spectral database. Lastly, a HSI image acquired over Lake Dali in Inner Mongolia was used to evaluate the effect of the preprocess method. The HSI image after destriping was compared with the original HSI image, which shows that the stripe noise has been removed effectively. Both un-smoothed reflectance spectra and smoothed spectra using the preprocess method proposed in this paper are compared with the reflectance spectral derived with the well-known FLAASH method. The results show that the spectra become much smoother after the application of the spectral filtered algorithm. It was also found that the spectra using this new preprocessing method have similar results as that of the FLAASH method.

Paper Details

Date Published: 6 August 2015
PDF: 6 pages
Proc. SPIE 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 96690B (6 August 2015); doi: 10.1117/12.2204891
Show Author Affiliations
Hail-liang Gao, Institute of Remote Sensing and Digital Earth (China)
Xing-fa Gu, Institute of Remote Sensing and Digital Earth (China)
Tao Yu, Institute of Remote Sensing and Digital Earth (China)
Hua-ying He, China Ctr. for Resources Satellite Data and Application (China)
Ling-ya Zhu, China Ctr. for Resources Satellite Data and Application (China)
Feng Wang, China Ctr. for Resources Satellite Data and Application (China)


Published in SPIE Proceedings Vol. 9669:
Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China
Qingxi Tong; Boqin Zhu, Editor(s)

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