Detail-preserving smoothing classifier based on conditional random fields for high spatial resolution remote sensing imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 5, 2015, Pages 2440-2452

  Zhao, Ji ^a   Zhong, Yanfei ^a   Zhang, Liangpei ^a  

^a Mapping and Remote Sensing   (China)

Author keywords

Conditional random fields (CRFs); contextual information; detail preserving smoothing; high spatial resolution (HSR); image classification; remote sensing

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE RESOLUTION; IMAGE SEGMENTATION; ITERATIVE METHODS; PIXELS; RANDOM PROCESSES; REMOTE SENSING;

CONDITIONAL RANDOM FIELD; CONDITIONAL RANDOM FIELDS(CRFS); CONNECTED COMPONENT LABELING ALGORITHM; CONTEXTUAL INFORMATION; DETAIL PRESERVING; HIGH SPATIAL RESOLUTION; OBJECT ORIENTED CLASSIFICATION; OBJECT-ORIENTED PROCESSING;

IMAGE CLASSIFICATION;

ALGORITHM; IMAGE CLASSIFICATION; REMOTE SENSING; SEGMENTATION; SMOOTHING; SPATIAL RESOLUTION; SPECTRAL ANALYSIS;

EID: 84920948047     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2360100     Document Type: Article

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