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

作者：Hu, Bin-Lin; Hao, Shi-Jing; Sun, De-Xin; Liu, Yin-Nian^*

来源：ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 131: 160-169.

DOI：10.1016/j.isprsjprs.2017.08.004

• Hyperspectral
• SWIR
• Non-uniformity correction
• Scene-based
• Remote sensing

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.

• 出版日期2017-9
• 单位中国科学院大学; 中国科学院上海技术物理研究所