A novel scene-based non-uniformity correction method for SWIR push-broom hyperspectral sensors

A novel scene-based non-uniformity correction (NUC) method for short-wavelength infrared (SWIR) push-broom hyperspectral sensors is proposed and evaluated. This method relies on the assumption that for each band there will be ground objects with similar reflectance to form uniform regions when a suf...

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Bibliographic Details
Published in:ISPRS journal of photogrammetry and remote sensing 2017-09, Vol.131, p.160-169
Main Authors: Hu, Bin-Lin, Hao, Shi-Jing, Sun, De-Xin, Liu, Yin-Nian
Format: Article
Language:English
Subjects:
Hyperspectral
Non-uniformity correction
Remote sensing
Scene-based
SWIR
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Summary:A novel scene-based non-uniformity correction (NUC) method for short-wavelength infrared (SWIR) push-broom hyperspectral sensors is proposed and evaluated. This method relies on the assumption that for each band there will be ground objects with similar reflectance to form uniform regions when a sufficient number of scanning lines are acquired. The uniform regions are extracted automatically through a sorting algorithm, and are used to compute the corresponding NUC coefficients. SWIR hyperspectral data from airborne experiment are used to verify and evaluate the proposed method, and results show that stripes in the scenes have been well corrected without any significant information loss, and the non-uniformity is less than 0.5%. In addition, the proposed method is compared to two other regular methods, and they are evaluated based on their adaptability to the various scenes, non-uniformity, roughness and spectral fidelity. It turns out that the proposed method shows strong adaptability, high accuracy and efficiency.
ISSN:0924-2716
1872-8235
DOI:10.1016/j.isprsjprs.2017.08.004