A partial sub-pixel method, mixture tuned matched filtering (MTMF), was implemented on a pre-processed and calibrated Hyperion dataset.
Firstly, mixture tuned matched filtering and logistic regression analyses are used for Hyperion data processing to obtain ecological site probability images in the area covered by hyperspectral imagery.
Spectral mapping methods, including spectral angle mapper, linear spectral unmixing, matched filtering and mixture tuned matched filtering were applied to differentiate hydrothermal alteration zones associated with porphyry copper mineralization such as phyllic, argillic and propylitic mineral assemblages.
The objective of this study is to assess the applicability of normalized differenced vegetation index (NDVI), linear spectral unmixing (LSU) and mixture tuned matched filtering (MTMF) in estimating abundance of vegetation cover in alpine terrain.
Aggregated classification and regression tree models (CART), incorporating the results of mixture tuned matched filter (MTMF) analyses and spectral physiological indexes, were used to map Lepidium at the three sites.
The rat spine receive-only RF coil array is again fixed tuned, matched and is combined with the same volume transmit coil.
The probe was tuned, matched, and locked to deuterium for the first sample.
Mixture Tuned Matched Filtering in ENVI was used to "unmix" spectra and quantify the hemlock signature contribution to each pixel.
Mixture Tuned Matched Filtering — MTMF, Linear Spectral Unmixing — LSU, and Spectral Angle Mapper — SAM, were applied to 2003 and 2010 Landsat Enhanced Thematic Mapper plus (ETM +) images.
Mixture Tuned Matched Filtering (MTMF), a partial spectral unmixing algorithm, was used to identify the spectral abundance of ash, soil, and scorched and green vegetation in the burned area.
