Applying spectral mixture analysis for large-scale sub-pixel impervious cover estimation based on neighbourhood-specific endmember signature generation

Remote Sensing Letters

Volumn 6, Issue 1, 2015, Pages 1-10

  Zhang, Zhang ^a,b   Liu, Chong ^c,d   Luo, Jiancheng ^a   Shen, Zhanfeng ^a   Shao, Zhenfeng ^c,d  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c Mapping and Remote Sensing   (China)

^d The Collaborative Innovation Center for Geospatial Technology   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; MEAN SQUARE ERROR; MIXTURES; RADIOMETERS;

COARSE-RESOLUTION IMAGERY; ENDMEMBER EXTRACTION; GENERALIZED LEAST SQUARE; GEOGRAPHICALLY WEIGHTED REGRESSION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; ROOT MEAN SQUARE ERRORS; SPATIAL HETEROGENEITY; SPECTRAL MIXTURE ANALYSIS;

PIXELS;

ACCURACY ASSESSMENT; ERROR ANALYSIS; ESTIMATION METHOD; HETEROGENEITY; IMAGE RESOLUTION; LEAST SQUARES METHOD; MAPPING; PIXEL; REGRESSION ANALYSIS;

EID: 84922331922     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2014.996677     Document Type: Article

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