Results 151 to 160 of about 763 (175)

Real-Time Endmember Extraction on Multicore Processors

IEEE Geoscience and Remote Sensing Letters, 2011
In this letter, we discuss the use of multicore processors in the acceleration of endmember extraction algorithms for hyperspectral image unmixing. Specifically, we develop computationally efficient versions of two popular fully automatic endmember extraction algorithms: orthogonal subspace projection and N-FINDR. Our experimental results, based on the
Alfredo Remón, Sergio Sánchez, Abel Paz, Enrique S. Quintana-Ortí, Antonio Plaza   +4 more
openaire   +2 more sources

Endmember generation by projection pursuit

SPIE Proceedings, 2005
Projection pursuit (PP) is an interesting concept, which has been found in many applications. It uses a so-called projection index (PI) as a criterion to seek directions that may lead to interesting findings for data analysts. Unlike the principal components analysis (PCA), which uses variance as a measure to find directions that maximizes data ...
Gregory Solyar, Chein-I Chang, Antonio Plaza   +2 more
openaire   +1 more source

Endmember Extraction without prior Number of Endmembers using Barycentric Abundances

2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 2023
Gouri Shankar Chetia, Bishnulatpam Pushpa Devi   +1 more
openaire   +1 more source

Endmember graphics

Mathematical Geology, 1992
Ross M. Renner, Simon R. Jurke
openaire   +1 more source

Endmember Extraction

2022
openaire   +1 more source

The endmember stew

Nature, 1990
openaire   +1 more source

Finding Endmembers in Hyperspectral Imagery

2016
Endmembers, defined as pure signatures, can be used to specify distinct spectral classes of interest in the data, thus providing crucial information in hyperspectral data exploitation. Technically speaking, an endmember is generally considered as a calibrated spectral signature in a data base or spectral library and is not necessarily to be a real data
openaire   +1 more source

Endmember Variability in hyperspectral image unmixing

Variabilité spectrale dans le démélange d'images hyperspectrales La finesse de la résolution spectrale des images hyperspectrales en télédétection permet une analyse précise de la scène observée, mais leur résolution spatiale est limitée, et un pixel acquis par le capteur est souvent un mélange des contributions de différents matériaux.
openaire   +1 more source

Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012
Ben Somers, Maciel Zortea, Antonio Plaza   +2 more
exaly  

Endmember variability in Spectral Mixture Analysis: A review

Remote Sensing of Environment, 2011
Ben Somers, Gregory P Asner, Laurent Tits   +2 more
exaly