A probabilistic framework to detect buildings in aerial and satellite images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 1 PART 1, 2011, Pages 211-221

  Sirmacek, Beril ^a   Unsalan, Cem ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b YEDITEPE UNIVERSITY   (Turkey)

Author keywords

Aerial images; building detection; data fusion; decision fusion; Ikonos satellite images; kernel density estimation; local feature vectors

Indexed keywords

AERIAL IMAGES; BUILDING DETECTION; DECISION FUSION; IKONOS SATELLITE IMAGE; KERNEL DENSITY ESTIMATION; LOCAL FEATURE VECTORS;

AUTOMATION; CROPS; DATA FUSION; ESTIMATION; FACE RECOGNITION; FEATURE EXTRACTION; FORESTRY; INFORMATION FUSION; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DENSITY FUNCTION; RANDOM VARIABLES; SATELLITES; SENSORS; STATISTICAL TESTS; URBAN PLANNING; VECTORS;

BUILDINGS;

AERIAL PHOTOGRAPH; DATA SET; DENSITY; IKONOS; IMAGE RESOLUTION; PANCHROMATIC IMAGE; PROBABILITY; SATELLITE IMAGERY; URBAN AREA;

EID: 78650907105     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2053713     Document Type: Conference Paper

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