| Autor: |
Jänicke, Clemens, Okujeni, Akpona, Cooper, Sam, Clark, Matthew, Hostert, Patrick, van der Linden, Sebastian |
| Předmět: |
|
| Zdroj: |
Remote Sensing Letters; Jan2020, Vol. 11 Issue 1, p1-10, 10p |
| Abstrakt: |
We evaluated the effectiveness of different approaches to compensate for across-track brightness gradients within a hyperspectral image mosaic comprised of multiple flight lines in the San Francisco Bay Area. We calculated the spectral consistency of adjacent flight lines and conducted regression-based unmixing of woody- and non-woody vegetation fractions to assess the comparative benefits of the methods. Results showed that a class-wise empirical approach produced the most spectrally consistent, nearly seamless image mosaics and led to accurate vegetation fraction maps (mean absolute error = 12.6%). Overall, a class-wise empirical approach is recommended as a simple, flexible and transferable technique to compensate for brightness gradients over a global empirical approach, brightness normalization or continuum removal. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
