Bi-Temporal texton forest for land cover transition detection on remotely sensed imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 2, 2014, Pages 1227-1237

  Lei, Zhen ^a   Fang, Tao ^a   Huo, Hong ^a   Li, Deren ^b  

^a Department of Automation   (China)

^b WUHAN UNIVERSITY   (China)

Author keywords

Change detection; random forest (RF); spatial contextual information; transition detection

Indexed keywords

CHANGE DETECTION; CLASSIFICATION METHODS; COLOR-INVARIANT GRADIENTS; CONTEXTUAL INFORMATION; POST-CLASSIFICATION COMPARISONS; RANDOM FORESTS; REMOTELY SENSED IMAGERY; TRANSITION DETECTION;

BINARY TREES;

DECISION TREES;

CLASSIFICATION; DETECTION METHOD; FOREST ECOSYSTEM; IMAGE CLASSIFICATION; LAND COVER; REMOTE SENSING; SATELLITE IMAGERY; TEMPORAL ANALYSIS;

EID: 84891010876     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2248738     Document Type: Article

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