Paper
17 January 2002 Performance comparisons for spectral unmixing algorithms
Author Affiliations +
Abstract
Spectral unmixing has emerged as a key application arising from the wealth of spectral measurements in hyperspectral processing. Several communities have shown great interest in the decompositional analysis of mixed pixels. Unmixing provides the ability to decompose mixed pixels in terms of distinct, unique substances, and provide a foundation for doing sub-pixel material identification. We undertake this comparison of unmixing algorithm performance with the knowledge that many algorithms exist, and new methods are constantly being explored and tested. Several disciplines are participating in the attempt to perform unmixing, such as geology, geophysics, engineering, and analytical chemistry.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nirmal Keshava "Performance comparisons for spectral unmixing algorithms", Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); https://doi.org/10.1117/12.453364
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling

Defense and security

Dimension reduction

Reflectivity

Atrial fibrillation

Calibration

Performance modeling

Back to Top