Conditional random fields for multitemporal and multiscale classification of optical satellite imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 2, 2015, Pages 659-673

  Hoberg, Thorsten ^a,b   Rottensteiner, Franz ^a   Feitosa, Raul Queiroz ^c,d   Heipke, Christian ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b State Agency of Geoinformation and Land Development of Lower Saxony   (Germany)

^c PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^d STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Change detection; conditional random field (CRF); Markov random field (MRF); multiscale; multitemporal classification

Indexed keywords

IMAGE RECONSTRUCTION; MARKOV PROCESSES; SATELLITE IMAGERY;

CHANGE DETECTION; CONDITIONAL RANDOM FIELD; MARKOV RANDOM FIELDS; MULTISCALE; MULTITEMPORAL CLASSIFICATION;

IMAGE SEGMENTATION;

DETECTION METHOD; IKONOS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; LANDSAT; NUMERICAL MODEL; SATELLITE IMAGERY;

GERMANY;

EID: 84906326713     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2326886     Document Type: Article

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