Matches in SemOpenAlex for { <https://semopenalex.org/work/W2775183886> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2775183886 abstract "In recent years, it was a difficult task to classify a huge set of data due to the increasing population in urban places. As of now, satellite hyperspectral image provides information but this is not sufficient to classify data in urban areas. To develop the urban areas, accurate and timely information is necessary for the government. Hence, airborne hyperspectral data provides sufficient information for urban planning and disaster management. This paper, focuses on the following objectives: (i) To improve the classification accuracy in bigdata images (ii) To reduce the mixed pixels in residential buildings that are surrounded by small trees (iii) To bring down similar pixels of roads and parking lots. In this paper, 15 different classes were classified which are important for the growth in urban areas. The SVM classifier has more accuracy and better kappa coefficient compared with Neural Network (NN) and K-Means clustering. The Overall Accuracy (OA) has improved by 23.3." @default.
- W2775183886 created "2017-12-22" @default.
- W2775183886 creator A5010579289 @default.
- W2775183886 creator A5068433266 @default.
- W2775183886 creator A5069611643 @default.
- W2775183886 date "2017-09-01" @default.
- W2775183886 modified "2023-10-15" @default.
- W2775183886 title "Big data challenges in airborne hyperspectral image for urban landuse classification" @default.
- W2775183886 cites W144884299 @default.
- W2775183886 cites W1964357740 @default.
- W2775183886 cites W2065800647 @default.
- W2775183886 cites W2103192805 @default.
- W2775183886 cites W2132360065 @default.
- W2775183886 cites W2167277498 @default.
- W2775183886 cites W2509232174 @default.
- W2775183886 doi "https://doi.org/10.1109/icacci.2017.8126107" @default.
- W2775183886 hasPublicationYear "2017" @default.
- W2775183886 type Work @default.
- W2775183886 sameAs 2775183886 @default.
- W2775183886 citedByCount "10" @default.
- W2775183886 countsByYear W27751838862019 @default.
- W2775183886 countsByYear W27751838862021 @default.
- W2775183886 countsByYear W27751838862022 @default.
- W2775183886 countsByYear W27751838862023 @default.
- W2775183886 crossrefType "proceedings-article" @default.
- W2775183886 hasAuthorship W2775183886A5010579289 @default.
- W2775183886 hasAuthorship W2775183886A5068433266 @default.
- W2775183886 hasAuthorship W2775183886A5069611643 @default.
- W2775183886 hasConcept C115961682 @default.
- W2775183886 hasConcept C119857082 @default.
- W2775183886 hasConcept C12267149 @default.
- W2775183886 hasConcept C124101348 @default.
- W2775183886 hasConcept C127413603 @default.
- W2775183886 hasConcept C144024400 @default.
- W2775183886 hasConcept C147176958 @default.
- W2775183886 hasConcept C149923435 @default.
- W2775183886 hasConcept C154945302 @default.
- W2775183886 hasConcept C159078339 @default.
- W2775183886 hasConcept C160633673 @default.
- W2775183886 hasConcept C163864269 @default.
- W2775183886 hasConcept C205649164 @default.
- W2775183886 hasConcept C2908647359 @default.
- W2775183886 hasConcept C41008148 @default.
- W2775183886 hasConcept C4792198 @default.
- W2775183886 hasConcept C49545453 @default.
- W2775183886 hasConcept C62649853 @default.
- W2775183886 hasConcept C73555534 @default.
- W2775183886 hasConcept C75294576 @default.
- W2775183886 hasConcept C75684735 @default.
- W2775183886 hasConceptScore W2775183886C115961682 @default.
- W2775183886 hasConceptScore W2775183886C119857082 @default.
- W2775183886 hasConceptScore W2775183886C12267149 @default.
- W2775183886 hasConceptScore W2775183886C124101348 @default.
- W2775183886 hasConceptScore W2775183886C127413603 @default.
- W2775183886 hasConceptScore W2775183886C144024400 @default.
- W2775183886 hasConceptScore W2775183886C147176958 @default.
- W2775183886 hasConceptScore W2775183886C149923435 @default.
- W2775183886 hasConceptScore W2775183886C154945302 @default.
- W2775183886 hasConceptScore W2775183886C159078339 @default.
- W2775183886 hasConceptScore W2775183886C160633673 @default.
- W2775183886 hasConceptScore W2775183886C163864269 @default.
- W2775183886 hasConceptScore W2775183886C205649164 @default.
- W2775183886 hasConceptScore W2775183886C2908647359 @default.
- W2775183886 hasConceptScore W2775183886C41008148 @default.
- W2775183886 hasConceptScore W2775183886C4792198 @default.
- W2775183886 hasConceptScore W2775183886C49545453 @default.
- W2775183886 hasConceptScore W2775183886C62649853 @default.
- W2775183886 hasConceptScore W2775183886C73555534 @default.
- W2775183886 hasConceptScore W2775183886C75294576 @default.
- W2775183886 hasConceptScore W2775183886C75684735 @default.
- W2775183886 hasLocation W27751838861 @default.
- W2775183886 hasOpenAccess W2775183886 @default.
- W2775183886 hasPrimaryLocation W27751838861 @default.
- W2775183886 hasRelatedWork W1594962745 @default.
- W2775183886 hasRelatedWork W2006362812 @default.
- W2775183886 hasRelatedWork W2019190440 @default.
- W2775183886 hasRelatedWork W2027399350 @default.
- W2775183886 hasRelatedWork W2044184146 @default.
- W2775183886 hasRelatedWork W2060875994 @default.
- W2775183886 hasRelatedWork W2070598848 @default.
- W2775183886 hasRelatedWork W2072166414 @default.
- W2775183886 hasRelatedWork W3034375524 @default.
- W2775183886 hasRelatedWork W3209970181 @default.
- W2775183886 isParatext "false" @default.
- W2775183886 isRetracted "false" @default.
- W2775183886 magId "2775183886" @default.
- W2775183886 workType "article" @default.