A solution for the mixture problem in agricultural remote sensing KU Leuven
A novel conceptual approach to address the mixture problem in agricultural remote sensing is presented in this study. The method, referred to as Signal Unmixing, combines both in situ and hyperspectral data in an adapted spectral mixture analysis algorithm and allows the extraction of pure and complete hyperspectral vegetation spectra (400-2400 nm) from mixed image pixels. The technique is evaluated using images generated from ray tracing ...