Name
Title | ||
|---|---|---|
A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Data |
Abstract | ||
|---|---|---|
Linear spectral unmixing is a commonly accepted approach to mixed-pixel classification in hyperspectral imagery. This approach involves two steps. First, to find spectrally unique signatures of pure ground components, usually known as endmembers, and, second, to express mixed pixels as linear combinations of endmember materials. Over the past years, several algorithms have been developed for auton... |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/TGRS.2003.820314 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Algorithm design and analysis,Data mining,Hyperspectral imaging,Image databases,Spatial databases,Infrared imaging,Infrared spectra,Spectroscopy,Reflectivity,Diversity reception | Spatial analysis,Endmember,Data processing,Remote sensing,Artificial intelligence,Contextual image classification,Computer vision,Imaging spectrometer,Algorithm,Feature extraction,Hyperspectral imaging,Mixture model,Mathematics | Journal |
Volume | Issue | ISSN |
42 | 3 | 0196-2892 |
Citations | PageRank | References |
238 | 23.08 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Plaza | 1 | 3475 | 262.63 |
| pablo martinez | 2 | 617 | 58.77 |
| Rosa Pérez | 3 | 443 | 45.46 |
| Javier Plaza | 4 | 561 | 58.04 |