A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

International Journal of Environmental Science and Technology

Volumn 12, Issue 5, 2015, Pages 1515-1526

  Mohammady, M ^a   Moradi, H R ^a   Zeinivand, H ^b   Temme, A J A M ^c  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b LORESTAN UNIVERSITY   (Iran)

^c WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Ancillary data; Iran; ISODATA; Land use classification; Maximum likelihood; Synthetic method

Indexed keywords

MAXIMUM LIKELIHOOD; REMOTE SENSING;

ANCILLARY DATA; IRAN; ISODATA; LANDUSE CLASSIFICATIONS; SYNTHETIC METHODS;

LAND USE;

ACCURACY ASSESSMENT; COMPARATIVE STUDY; DATA SET; DECISION MAKING; GIS; IMAGE CLASSIFICATION; LAND USE; LANDSAT; MAP; MAXIMUM LIKELIHOOD ANALYSIS; SATELLITE IMAGERY; UNSUPERVISED CLASSIFICATION;

GOLESTAN; IRAN;

EID: 84925181913     PISSN: 17351472     EISSN: 17352630     Source Type: Journal    
DOI: 10.1007/s13762-014-0728-3     Document Type: Article

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