A new approach for geological pattern recognition using high-order spatial cumulants

Computers and Geosciences

Volumn 36, Issue 3, 2010, Pages 313-334

  Mustapha, Hussein ^a   Dimitrakopoulos, Roussos ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

High order statistics; Spatial cumulants; Spatial random functions

Indexed keywords

CUMULANTS; GEO-STATISTICS; GEOLOGICAL APPLICATIONS; GEOLOGICAL DATA; HIGH ORDER STATISTICS; HIGH-ORDER; HIGHER ORDER; NATURAL PHENOMENA; NEW APPROACHES; NON-GAUSSIAN; NON-GAUSSIAN SYSTEMS; NON-LINEAR; NON-LINEAR PHENOMENA; NUMBER OF DATUM; OPEN SOURCE PLATFORMS; RANDOM FUNCTIONS; SECOND ORDERS; SMALL DATA SET; SPATIAL COMPLEXITY; SPATIAL DISTRIBUTION; STATISTICAL MODELS; TRAINING IMAGE;

GAUSSIAN NOISE (ELECTRONIC); PATTERN RECOGNITION;

THREE DIMENSIONAL;

ALGORITHM; DATA PROCESSING; DATA SET; GEOLOGICAL MAPPING; GEOSTATISTICS; IMAGE ANALYSIS; NUMERICAL MODEL; PATTERN RECOGNITION; SPATIAL DISTRIBUTION; STATISTICAL ANALYSIS;

EID: 75749101326     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2009.04.015     Document Type: Article

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