Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms

Mathematical and Computer Modelling

Volumn 54, Issue 7-8, 2011, Pages 1829-1834

  Ordonez Galan C ^a   Rodriguez Perez J R ^b   Martinez Torres J ^c   Garcia Nieto P J ^d  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF LEÓN   (Spain)

^c CENTRO UNIVERSITARIO DE LA DEFENSA   (Spain)

^d UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Forest environments; Genetic algorithms; GPS measurements; Machine learning; Multivariate adaptive regression splines (MARS)

Indexed keywords

CANOPY COVER; FOREST AREA; FOREST CANOPIES; FOREST ENVIRONMENTS; FOREST STAND; GPS RECEIVERS; GPS SIGNALS; MACHINE-LEARNING; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; POSITION DILUTION OF PRECISION; SIGNAL TO NOISE; STATISTICAL DIFFERENCES; TREE DENSITY;

FORESTRY; GENETIC ALGORITHMS; SIGNAL TO NOISE RATIO;

GLOBAL POSITIONING SYSTEM;

ALGORITHMS; FORESTS; POSITIONING; REMOTE SENSING; WOOD;

EID: 79960841466     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2010.11.077     Document Type: Article

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