Sentence examples for multiple endmember selection from inspiring English sources
Multiple endmember selection methods, including Interactive Endmember Selection (IES), Endmember average root mean square error (EAR), Minimum average spectral angle (MASA) and Count-based (CoB) (collectively called EMC), were employed to create endmember libraries for the targeted vegetation classes.
For all endmember selection techniques, the number of selected endmembers varied across 25 random training samples.
Using the indicator function above, we calculate the PPI score associated to each pixel vector (i.e., the number of times that a given pixel has been selected as extreme in step 2) using the following equation: (3) (4) Endmember selection.
A modified hybrid method, in which the number of endmembers selected was limited, produced the second highest accuracies, combining the strengths of the more parsimonious endmember selection by CoB/EAR with improved endmember selection by IES.
A simple SMA, in which each constituting terrain feature is represented by its mean spectral signature, a multiple endmember SMA MESMAandand a segmented SMA, which accounts for soil brightness variations by forcing the substrate endmember choice based on ancillary data (lithological map), were applied.
Then, a new adaptive endmember selection linear spectral mixture model (ASLSMM) was proposed to improve the accuracy of FVC estimation by considering the endmember dynamics for each pixel.
Multiple endmember spectral mixture analysis (MESMA) is a technique that potentially addresses both challenges.
A traditional LSMM with fixed endmembers and the Multiple Endmember Spectral Mixture Analysis (MESMA) model were also used for model performance comparison.
Central to our method is the combined use of stratified classification and multiple endmember spectral mixture analysis (MESMA) techniques.
Another shortcoming of the PPI is the fact that an interactive tool is needed to perform the final endmember selection.
