Object-based urban structure type pattern recognition from Landsat TM with a Support Vector Machine

International Journal of Remote Sensing

Volumn 37, Issue 17, 2016, Pages 4059-4083

  Wieland, Marc ^a   Torres, Yolanda ^b   Pittore, Massimiliano ^a   Benito, Belén ^b  

^a GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Haiti; Landsat; Machine learning; object based image analysis; urban structure types

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE ANALYSIS; IMAGE SEGMENTATION; LEARNING SYSTEMS; OPTICAL RADAR; PATTERN RECOGNITION; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

FEATURE SELECTION ALGORITHM; HAITI; LANDSAT; LANDSAT THEMATIC MAPPER IMAGES; LIGHT DETECTION AND RANGING; OBJECT BASED IMAGE ANALYSIS; SUPERVISED MACHINE LEARNING; URBAN STRUCTURE TYPES;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; DATA INTERPRETATION; IMAGE ANALYSIS; LANDSAT THEMATIC MAPPER; PERFORMANCE ASSESSMENT; SUPPORT VECTOR MACHINE; URBAN AREA;

HAITI;

EID: 84979555836     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1207261     Document Type: Article

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