SemOpenAlex |

SemOpenAlex

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2548765218> ?p ?o ?g. }

Showing items 1 to 88 of 88 with 100 items per page.

W2548765218 abstract "Land cover classification can be regarded as topic assignment that the pixels can be classified into different kinds of regions (e.g. road, tree, grass) according to the semantics of topics in topic model. In this paper, we present a novel probabilistic latent semantic analysis (pLSA) model based on sparsity constraint for classifying different kinds of land cover. In contrast with conventional topic model which usually assumes each local feature descriptor is only related to one visual word of the dictionary, our method uses sparse coding to characterize the potential relationship between the descriptor and multiple words. Therefore each descriptor can be represented by a small set of words. More importantly, we further apply sparse coding to mine the correlation of documents (i.e. image) in pLSA model. Consequently, our model can generate the more discriminative latent topics and benefit land cover classification. Experimental results on high-resolution remote sensing images demonstrate the excellent superiority of our method." @default.
W2548765218 created "2016-11-11" @default.
W2548765218 creator A5002444896 @default.
W2548765218 creator A5033987622 @default.
W2548765218 creator A5036886150 @default.
W2548765218 creator A5066834799 @default.
W2548765218 creator A5089957493 @default.
W2548765218 date "2016-07-01" @default.
W2548765218 modified "2023-09-30" @default.
W2548765218 title "Sparsity-constrained probabilistic latent semantic analysis for land cover classification" @default.
W2548765218 cites W1578340400 @default.
W2548765218 cites W1880262756 @default.
W2548765218 cites W1990380821 @default.
W2548765218 cites W2027922120 @default.
W2548765218 cites W2097018403 @default.
W2548765218 cites W2134731454 @default.
W2548765218 doi "https://doi.org/10.1109/igarss.2016.7730420" @default.
W2548765218 hasPublicationYear "2016" @default.
W2548765218 type Work @default.
W2548765218 sameAs 2548765218 @default.
W2548765218 citedByCount "2" @default.
W2548765218 countsByYear W25487652182017 @default.
W2548765218 countsByYear W25487652182019 @default.
W2548765218 crossrefType "proceedings-article" @default.
W2548765218 hasAuthorship W2548765218A5002444896 @default.
W2548765218 hasAuthorship W2548765218A5033987622 @default.
W2548765218 hasAuthorship W2548765218A5036886150 @default.
W2548765218 hasAuthorship W2548765218A5066834799 @default.
W2548765218 hasAuthorship W2548765218A5089957493 @default.
W2548765218 hasConcept C112933361 @default.
W2548765218 hasConcept C127413603 @default.
W2548765218 hasConcept C138885662 @default.
W2548765218 hasConcept C147176958 @default.
W2548765218 hasConcept C153180895 @default.
W2548765218 hasConcept C154945302 @default.
W2548765218 hasConcept C171686336 @default.
W2548765218 hasConcept C184337299 @default.
W2548765218 hasConcept C199360897 @default.
W2548765218 hasConcept C2776401178 @default.
W2548765218 hasConcept C2780648208 @default.
W2548765218 hasConcept C41008148 @default.
W2548765218 hasConcept C41895202 @default.
W2548765218 hasConcept C4792198 @default.
W2548765218 hasConcept C49937458 @default.
W2548765218 hasConcept C97931131 @default.
W2548765218 hasConceptScore W2548765218C112933361 @default.
W2548765218 hasConceptScore W2548765218C127413603 @default.
W2548765218 hasConceptScore W2548765218C138885662 @default.
W2548765218 hasConceptScore W2548765218C147176958 @default.
W2548765218 hasConceptScore W2548765218C153180895 @default.
W2548765218 hasConceptScore W2548765218C154945302 @default.
W2548765218 hasConceptScore W2548765218C171686336 @default.
W2548765218 hasConceptScore W2548765218C184337299 @default.
W2548765218 hasConceptScore W2548765218C199360897 @default.
W2548765218 hasConceptScore W2548765218C2776401178 @default.
W2548765218 hasConceptScore W2548765218C2780648208 @default.
W2548765218 hasConceptScore W2548765218C41008148 @default.
W2548765218 hasConceptScore W2548765218C41895202 @default.
W2548765218 hasConceptScore W2548765218C4792198 @default.
W2548765218 hasConceptScore W2548765218C49937458 @default.
W2548765218 hasConceptScore W2548765218C97931131 @default.
W2548765218 hasLocation W25487652181 @default.
W2548765218 hasOpenAccess W2548765218 @default.
W2548765218 hasPrimaryLocation W25487652181 @default.
W2548765218 hasRelatedWork W1937812750 @default.
W2548765218 hasRelatedWork W1976896939 @default.
W2548765218 hasRelatedWork W2006441048 @default.
W2548765218 hasRelatedWork W2043755928 @default.
W2548765218 hasRelatedWork W2061706760 @default.
W2548765218 hasRelatedWork W2067765061 @default.
W2548765218 hasRelatedWork W2075723691 @default.
W2548765218 hasRelatedWork W2156237765 @default.
W2548765218 hasRelatedWork W2294802479 @default.
W2548765218 hasRelatedWork W2365679186 @default.
W2548765218 hasRelatedWork W2382803800 @default.
W2548765218 hasRelatedWork W2411643563 @default.
W2548765218 hasRelatedWork W2538270188 @default.
W2548765218 hasRelatedWork W2588865566 @default.
W2548765218 hasRelatedWork W2789784903 @default.
W2548765218 hasRelatedWork W2805345403 @default.
W2548765218 hasRelatedWork W2903479328 @default.
W2548765218 hasRelatedWork W3109274866 @default.
W2548765218 hasRelatedWork W2125833584 @default.
W2548765218 hasRelatedWork W3130365259 @default.
W2548765218 isParatext "false" @default.
W2548765218 isRetracted "false" @default.
W2548765218 magId "2548765218" @default.
W2548765218 workType "article" @default.