Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image

Remote Sensing Letters

Volumn 6, Issue 11, 2015, Pages 834-843

  Kavzoglu, Taskin ^a   Colkesen, Ismail ^a   Yomralioglu, Tahsin ^b  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; IMAGE CLASSIFICATION; LEARNING SYSTEMS; SATELLITE IMAGERY; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; ENSEMBLE LEARNING ALGORITHM; INDIVIDUAL CLASSIFIERS; NORMALIZED DIFFERENCE VEGETATION INDEX; OBJECT-BASED CLASSIFICATIONS; PARAMETRIC CLASSIFIER; STATISTICAL SIGNIFICANCE;

LEARNING ALGORITHMS;

ALGORITHM; DECISION ANALYSIS; FOREST ECOSYSTEM; IMAGE CLASSIFICATION; MACHINE LEARNING; NDVI; RESOLUTION; SATELLITE DATA; SATELLITE IMAGERY; WORLDVIEW;

EID: 84942590106     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2015.1084550     Document Type: Article

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