| Technology and Methodology |
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A Method to Destripe HJ-1A HSI Data Based on Nomalized Grey Level |
| LAN Qiong-qiong1,2, ZHANG Li-fu1, WU Tai-xia1 |
1. The State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract The first national self-developed Hyper-Spectral Imaging (HSI) sensor was aboard on HJ-1A satellite which was launched on March 30, 2009 successfully. The HSI data quality was influenced by the stripe noise in the first 20 spectral bands severely. It is an urgent need to study the method to destripe the HSI data. In this paper, a new destriping method was developed based on an analysis of the main causes and characteristics of the stripe noise in the hyperspectral images. The method firstly devised a filter window to separate the random noise and stripe noise. Secondly, a look-up table between the gray level of each column and that of the standard column was calculated to destripe the stripe noise of the HSI data. The results indicate that this method can remove the stripe noise and random noise effectively and at the same time keep the spectral radiation information properly.
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| Keywords
ion adsorption type rare earth
remote sensing
geomorphologic interpretation
abnormal extraction
mineral prediction
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Issue Date: 03 June 2012
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2012,
Vol. 24
