Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
University of Lisbon · Instituto Superior Técnico · +14 more institutions
Abstract
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras. Imaging spectrometers are therefore often referred to as hyperspectral cameras (HSCs). Higher spectral resolution enables material identification via spectroscopic analysis, which facilitates countless applications that require identifying materials in scenarios unsuitable for classical spectroscopic analysis. Due to low spatial resolution of HSCs, microscopic material mixing, and multiple scattering, spectra measured by HSCs are mixtures of spectra of materials in a scene. Thus, accurate estimation requires…
Citation impact
- FWCI
- 292.69
- Percentile
- 100%
- References
- 244
Authors
7- JMJosé M. Bioucas‐DiasCorresponding
University of Lisbon, Instituto Superior Técnico, Instituto de Telecomunicações
- APAntonio Plaza
Universidad de Extremadura
- NDNicolas Dobigeon
Institut Polytechnique de Bordeaux, Institut de Recherche en Informatique de Toulouse, Université Toulouse - Jean Jaurès, Institut National Polytechnique de Toulouse, Université Toulouse III - Paul Sabatier, Université Toulouse-I-Capitole
- MPM. Parente
University of Massachusetts Amherst, Marcus (United States)
- QDQian Du
Mississippi State University
Topics & keywords
- Hyperspectral imaging
- Endmember
- Multispectral image
- Computer science
- Pixel
- Imaging spectroscopy
- Spectral signature
- Image resolution