Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)

Remote Sensing of Environment

Volumn 110, Issue 1, 2007, Pages 59-78

  Farifteh, J ^a   Van der Meer, F ^a   Atzberger, C ^b   Carranza, E J M ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b GEOSYS   (France)

Author keywords

Artificial neural network; Geophysics; Hyperspectral; Modelling; Partial least square regression; Remote sensing; Salt affected soils; Soil salinity

Indexed keywords

PARTIAL LEAST SQUARE REGRESSION; SALT-AFFECTED SOILS; SOIL SALINITY;

GEOPHYSICS; MATHEMATICAL MODELS; NEURAL NETWORKS; REMOTE SENSING;

SOIL SURVEYS;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; GEOPHYSICAL METHOD; NUMERICAL MODEL; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; SALINITY; SPECTRAL REFLECTANCE;

EID: 34447526307     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.02.005     Document Type: Article

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