Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey

International Journal of Remote Sensing

Volumn 36, Issue 2, 2015, Pages 442-464

  Akar, O ^a   Gungor O ^b  

^a ERZINCAN UNIVERSITY   (Turkey)

^b KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL PRODUCTS; CROPS; DECISION TREES; GABOR FILTERS; LAND USE; MAPS; REFLECTION; SURVEYS; VEGETATION;

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; EASTERN BLACK SEA REGION; GREY-LEVEL CO-OCCURRENCE MATRIXES; NORMALIZED DIFFERENCE VEGETATION INDEX; RANDOM FOREST CLASSIFICATION; SPECTRAL REFLECTANCE VALUE;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; CROP PLANT; FOREST COVER; IMAGE CLASSIFICATION; NDVI; PLANTATION FORESTRY; SATELLITE IMAGERY; SPATIAL RESOLUTION; THEMATIC MAPPING;

BLACK SEA; TURKEY;

CORYLUS;

EID: 84922147384     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.995276     Document Type: Article

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