Enhancing endmember selection in multiple endmember spectral mixture analysis (MESMA) for urban impervious surface area mapping using spectral angle and spectral distance parameters - researchr publication related

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Fenglei Fan, Yingbin Deng. Enhancing endmember selection in multiple endmember spectral mixture analysis (MESMA) for urban impervious surface area mapping using spectral angle and spectral distance parameters. Int. J. Applied Earth Observation and Geoinformation, 33:290-301, 2014. [doi]

The following publications are possibly variants of this publication:

Corrigendum to "Enhancing endmember selection in multiple endmember spectral mixture analysis (MESMA) for urban impervious surface area mapping using spectral angle and spectral distance parameters" [Int. J. Appl. Earth Observ. Geoinf. 33(2014) 290-301]Fenglei Fan, Yingbin Deng. aeog, 36:103-105, 2015. [doi]

Spatially Constrained Multiple Endmember Spectral Mixture Analysis for Quantifying Subpixel Urban Impervious SurfacesChangshan Wu, Chengbin Deng, Xiuping Jia. staeors, 7(6):1976-1984, 2014. [doi]

Development of a Class-Based Multiple Endmember Spectral Mixture Analysis (C-MESMA) Approach for Analyzing Urban EnvironmentsYingbin Deng, Changshan Wu. remotesensing, 8(4):349, 2016. [doi]

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