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Proceedings Paper

A stripe noise removal method of interference hyperspectral imagery based on interferogram correction
Author(s): Chuanrong Li; Chuncheng Zhou; Lingling Ma; Lingli Tang; Xinhong Wang
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Paper Abstract

An Spatially Modulated Fourier Transform Hyperspectral Imager (named HSI) aboard on the Chinese Huan Jing-1A (HJ-1A) satellite has a spectral coverage of 0.459-0.956μm with 115 spectral bands. In practical, periodical and directional stripe noise was found distributing in the HSI imagery, especially at the first twenty shortwave bands. To fully utilize all information contained in hyperspectral images, it is demanded to eliminate the stripe noise. This paper presents a new method to deal with this problem. Firstly, possible sources of HSI stripe noise are analyzed based on interference imaging mechanism. Traditional noises, e.g. device position changes due to launch, non-uniformity in the instrument itself and aging degradations, are directly recorded at the focal plane array and thereafter in the interferogram. After inverse Fourier transform exerted on the interferogram, the spatial dimension of the interference hyperspectral image is restored with complicated and untraceable stripe noises. Therefore traditional image processing methods based on spectral image will not be effective for removing the HSI stripe noise. In order to eliminate this effect, a stripe noise removal method based on interferogram correction is necessary. Then, the implementation process of the interferogram correction method is presented, which mainly contains three steps: 1) Establish relative radiometric correction model of the interferogram based on relatively homogeneous ground scenes as much as possible; 2) Correct the response inconsistency of CCD array by carrying out relative radiometric correction on the interferogram; 3) Convert the corrected interferogram to obtain the revised hyperspectral images. An experiment is conducted and the new method is compared with several traditional methods. The results show that the stripe noise of HSI image can be more effectively removed by the proposed method, and meanwhile the texture detail of original image and the correlation among different bands are finely reserved.

Paper Details

Date Published: 8 November 2012
PDF: 7 pages
Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85370A (8 November 2012); doi: 10.1117/12.974452
Show Author Affiliations
Chuanrong Li, The Academy of Opto-Electronics (China)
Chuncheng Zhou, The Academy of Opto-Electronics (China)
Lingling Ma, The Academy of Opto-Electronics (China)
Lingli Tang, The Academy of Opto-Electronics (China)
Xinhong Wang, The Academy of Opto-Electronics (China)

Published in SPIE Proceedings Vol. 8537:
Image and Signal Processing for Remote Sensing XVIII
Lorenzo Bruzzone, Editor(s)

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