An experimental comparison of multi-resolution segmentation, slic and k-means clustering for object-based classification of vhr imagery

International Journal of Remote Sensing

Volumn 39, Issue 18, 2018, Pages 6020-6036

  Kavzoglu, T ^a   Tonbul, H ^a  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; ITERATIVE METHODS; LAND USE; MAPS; PIXELS;

CLASSIFICATION ACCURACY; EXPERIMENTAL COMPARISON; OBJECT BASED IMAGE ANALYSIS (OBIA); OBJECT-BASED CLASSIFICATIONS; RANDOM FOREST CLASSIFIER; SEGMENTATION ALGORITHMS; SEGMENTATION EVALUATION METRICS; SIMPLE LINEAR ITERATIVE CLUSTERING;

CLUSTERING ALGORITHMS;

ALGORITHM; CLUSTER ANALYSIS; COMPARATIVE STUDY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; LAND USE; PIXEL; SEGMENTATION;

CONIFERALES;

EID: 85052086237     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1506592     Document Type: Article

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