Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 4, 2016, Pages 2108-2123

  Zhao, Bei ^a,b   Zhong, Yanfei ^a   Xia, Gui Song ^a   Zhang, Liangpei ^a  

^a The Collaborative Innovation Center for Geospatial Technology   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

High spatial resolution (HSR); Latent Dirichlet allocation (LDA); Multiple features; Probabilistic latent semantic analysis (PLSA); Remote sensing; Scene classification

Indexed keywords

ALGORITHMS; IMAGE MATCHING; IMAGE RESOLUTION; SEMANTICS; STATISTICS;

COMPLEMENTARY FEATURES; HETEROGENEOUS FEATURES; HIGH LEVEL SEMANTICS; HIGH SPATIAL RESOLUTION; LATENT DIRICHLET ALLOCATION; PROBABILISTIC LATENT SEMANTIC ANALYSIS; REMOTE SENSING IMAGERY; SPATIAL PYRAMID MATCHING;

REMOTE SENSING;

ALGORITHM; DATA SET; ESTIMATION METHOD; EXPERIMENTAL STUDY; HETEROGENEITY; IMAGE ANALYSIS; IMAGERY; REMOTE SENSING; SPATIAL RESOLUTION; STATISTICAL ANALYSIS;

EID: 84947933375     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2496185     Document Type: Article

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