| Autor: |
Zhao, Hengqian, Zhao, Xuesheng, Zhang, Lifu, Yang, Keming, Sun, Hao |
| Zdroj: |
IEEE Geoscience & Remote Sensing Letters; Dec2016, Vol. 13 Issue 12, p1994-1998, 5p |
| Abstrakt: |
Hyperspectral remote sensing has been verified to be an effective tool in mineral information extraction. The existence of vegetation can cause a major problem for mineral exploration, and diagnostic absorption feature has the potential to be the key factor in mineral information extraction from a vegetation-covered area. This letter presents a new approach of mineral absorption feature extraction in high-density vegetation area based on reference spectral background removal. The resulting model can simulate the background curve based on the reference spectral background and eliminate the influence of vegetation through the background removal process. Experiments on simulated data validated its great potential in both qualitative and quantitative analyses for mineral exploration in vegetation-covered area. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
