Endmember variability in Spectral Mixture Analysis: A review
- 15 July 2011
- journal article
- review article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 115 (7), 1603-1616
- https://doi.org/10.1016/j.rse.2011.03.003
Abstract
No abstract availableThis publication has 161 references indexed in Scilit:
- Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystemRemote Sensing of Environment, 2008
- Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implicationsEuropean Journal of Agronomy, 2007
- Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USAInternational Journal of Remote Sensing, 2005
- A new tool for variable multiple endmember spectral mixture analysis (VMESMA)International Journal of Remote Sensing, 2005
- Normalized spectral mixture analysis for monitoring urban composition using ETM+ imageryRemote Sensing of Environment, 2004
- Spectral and Structural Measures of Northwest Forest Vegetation at Leaf to Landscape ScalesEcosystems, 2004
- Scale dependence of biophysical structure in deforested areas bordering the Tapajós National Forest, Central AmazonRemote Sensing of Environment, 2003
- View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRISInternational Journal of Remote Sensing, 2002
- Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniquesInternational Journal of Remote Sensing, 2002
- Remote Determination of Exposure Degree and Iron Concentration of Lunar Soils Using VIS-NIR Spectroscopic MethodsIcarus, 1994