Automatic detection of geospatial objects using multiple hierarchical segmentations

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 7, 2008, Pages 2097-2111

  Akçay, H Gökhan ^b   Aksoy, Selim ^a,b  

^a IEEE

^b BILKENT UNIVERSITY   (Turkey)

Author keywords

Hierarchical segmentation; Image segmentation; Mathematical morphology; Object based analysis; Unsupervised object detection

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; INFORMATION THEORY; LABELING; LEARNING ALGORITHMS; MATHEMATICAL MORPHOLOGY; PROBABILITY; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; SET THEORY;

APPLIED (CO); AUTOMATIC DETECTION; AUTOMATIC LABELLING; COMPARATIVE EXPERIMENTS; CONDITIONAL PROBABILITY DISTRIBUTIONS; CONNECTED COMPONENTS; DATA SETS; DIFFERENT SCALES; FEATURE DISTRIBUTION; GENERIC ALGORITHMS; GEO SPATIAL OBJECTS; GROUPING PROBLEMS; HIGH-RESOLUTION (HR) IMAGES; INDIVIDUAL (PSS 544-7); KULLBACK LEIBLER DIVERGENCE (KLD); MORPHOLOGICAL OPERATIONS; NEW ALGORITHM; NOVEL METHODS; OBJECT CLASSES; OBJECT DETECTION; OBJECT DETECTION ALGORITHMS; OBJECT MODELLING; OBJECT-BASED; PROBABILISTIC LATENT SEMANTIC ANALYSIS (PLSA); REMOTELY SENSED IMAGERY (RSI); SEGMENTATION ALGORITHMS; SPECTRAL BANDING; SPECTRAL INFORMATIONS; STRUCTURAL INFORMATIONS; STRUCTURING ELEMENT (SE); UNSUPERVISED SEGMENTATION;

OBJECT RECOGNITION;

ALGORITHMS; IMAGE ANALYSIS; INFORMATION RETRIEVAL; LABELING; LABELS; MATHEMATICAL MODELS; PROBABILITY; REMOTE SENSING; RISK ASSESSMENT;

EID: 45849122519     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.916644     Document Type: Article

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