A novel scene-based non-uniformity correction method for SWIR push-broom hyperspectral sensors
| Autor: | De-Xin Sun, Shi-Jing Hao, Binlin Hu, Yinnian Liu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Sorting algorithm
Correction method Computer science business.industry media_common.quotation_subject Hyperspectral imaging 02 engineering and technology Surface finish Information loss 021001 nanoscience & nanotechnology 01 natural sciences Reflectivity Atomic and Molecular Physics and Optics Adaptability Computer Science Applications 010309 optics 0103 physical sciences Computer vision Artificial intelligence Computers in Earth Sciences 0210 nano-technology business Engineering (miscellaneous) Remote sensing media_common |
| Zdroj: | ISPRS Journal of Photogrammetry and Remote Sensing. 131:160-169 |
| ISSN: | 0924-2716 |
| DOI: | 10.1016/j.isprsjprs.2017.08.004 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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