Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis
- 1 March 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 38 (2) , 1083-1094
- https://doi.org/10.1109/36.841987
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- A new approach to quantifying abundances of materials in multispectral imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Confidence in linear spectral unmixing of single pixelsIEEE Transactions on Geoscience and Remote Sensing, 1999
- Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture ModelsPublished by Elsevier ,1998
- Biophysical and Biochemical Sources of Variability in Canopy ReflectanceRemote Sensing of Environment, 1998
- Spectral Mixture Analysis - New Strategies for the Analysis of Multispectral DataPublished by Springer Nature ,1994
- The least-squares mixing models to generate fraction images derived from remote sensing multispectral dataIEEE Transactions on Geoscience and Remote Sensing, 1991
- A modification of karmarkar's linear programming algorithmAlgorithmica, 1986
- Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysisJournal of Geophysical Research, 1985
- The N-City Travelling Salesman Problem: Statistical Mechanics and the Metropolis AlgorithmSIAM Review, 1984
- Equation of State Calculations by Fast Computing MachinesThe Journal of Chemical Physics, 1953