FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017348162> ?p ?o ?g. }

• W2017348162 endingPage "053512" @default.
• W2017348162 startingPage "053512" @default.
• W2017348162 abstract "Mapping of vegetation using remote sensing in mountainous areas is considerably hampered by topographic effects on the spectral response pattern. A variety of topographic normalization techniques have been proposed to correct these illumination effects due to topography. The purpose of this study was to compare six different topographic normalization methods (Cosine correction, Minnaert correction, C-correction, Sun-canopy-sensor correction, two-stage topographic normalization, and slope matching technique) for their effectiveness in enhancing vegetation classification in mountainous environments. Since most of the vegetation classes in the rugged terrain of the Lancang Watershed (China) did not feature a normal distribution, artificial neural networks (ANNs) were employed as a classifier. Comparing the ANN classifications, none of the topographic correction methods could significantly improve ETM+ image classification overall accuracy. Nevertheless, at the class level, the accuracy of pine forest could be increased by using topographically corrected images. On the contrary, oak forest and mixed forest accuracies were significantly decreased by using corrected images. The results also showed that none of the topographic normalization strategies was satisfactorily able to correct for the topographic effects in severely shadowed areas." @default.
• W2017348162 created "2016-06-24" @default.
• W2017348162 creator A5025341814 @default.
• W2017348162 creator A5026651386 @default.
• W2017348162 creator A5035395460 @default.
• W2017348162 creator A5044364996 @default.
• W2017348162 creator A5053996283 @default.
• W2017348162 creator A5075119349 @default.
• W2017348162 date "2011-01-01" @default.
• W2017348162 modified "2023-09-22" @default.
• W2017348162 title "Influence of different topographic correction strategies on mountain vegetation classification accuracy in the Lancang Watershed, China" @default.
• W2017348162 cites W1972814014 @default.
• W2017348162 cites W1985868211 @default.
• W2017348162 cites W1995446787 @default.
• W2017348162 cites W2013160204 @default.
• W2017348162 cites W2019238419 @default.
• W2017348162 cites W2023114212 @default.
• W2017348162 cites W2024747153 @default.
• W2017348162 cites W2033430899 @default.
• W2017348162 cites W2043206702 @default.
• W2017348162 cites W2044400426 @default.
• W2017348162 cites W2046339565 @default.
• W2017348162 cites W2048282444 @default.
• W2017348162 cites W2053154970 @default.
• W2017348162 cites W2060800196 @default.
• W2017348162 cites W2067061972 @default.
• W2017348162 cites W2079454091 @default.
• W2017348162 cites W2081433533 @default.
• W2017348162 cites W2090681432 @default.
• W2017348162 cites W2097492507 @default.
• W2017348162 cites W2099301710 @default.
• W2017348162 cites W2099867025 @default.
• W2017348162 cites W2101122098 @default.
• W2017348162 cites W2112330009 @default.
• W2017348162 cites W2142356726 @default.
• W2017348162 cites W2144841545 @default.
• W2017348162 cites W2151441836 @default.
• W2017348162 cites W2154123667 @default.
• W2017348162 cites W2161379723 @default.
• W2017348162 cites W2163980598 @default.
• W2017348162 cites W2172009270 @default.
• W2017348162 doi "https://doi.org/10.1117/1.3569124" @default.
• W2017348162 hasPublicationYear "2011" @default.
• W2017348162 type Work @default.
• W2017348162 sameAs 2017348162 @default.
• W2017348162 citedByCount "23" @default.
• W2017348162 countsByYear W20173481622012 @default.
• W2017348162 countsByYear W20173481622013 @default.
• W2017348162 countsByYear W20173481622014 @default.
• W2017348162 countsByYear W20173481622015 @default.
• W2017348162 countsByYear W20173481622016 @default.
• W2017348162 countsByYear W20173481622017 @default.
• W2017348162 countsByYear W20173481622018 @default.
• W2017348162 countsByYear W20173481622019 @default.
• W2017348162 countsByYear W20173481622021 @default.
• W2017348162 countsByYear W20173481622022 @default.
• W2017348162 countsByYear W20173481622023 @default.
• W2017348162 crossrefType "journal-article" @default.
• W2017348162 hasAuthorship W2017348162A5025341814 @default.
• W2017348162 hasAuthorship W2017348162A5026651386 @default.
• W2017348162 hasAuthorship W2017348162A5035395460 @default.
• W2017348162 hasAuthorship W2017348162A5044364996 @default.
• W2017348162 hasAuthorship W2017348162A5053996283 @default.
• W2017348162 hasAuthorship W2017348162A5075119349 @default.
• W2017348162 hasConcept C119857082 @default.
• W2017348162 hasConcept C127313418 @default.
• W2017348162 hasConcept C136886441 @default.
• W2017348162 hasConcept C144024400 @default.
• W2017348162 hasConcept C150547873 @default.
• W2017348162 hasConcept C161840515 @default.
• W2017348162 hasConcept C19165224 @default.
• W2017348162 hasConcept C205649164 @default.
• W2017348162 hasConcept C39432304 @default.
• W2017348162 hasConcept C41008148 @default.
• W2017348162 hasConcept C58640448 @default.
• W2017348162 hasConcept C62649853 @default.
• W2017348162 hasConceptScore W2017348162C119857082 @default.
• W2017348162 hasConceptScore W2017348162C127313418 @default.
• W2017348162 hasConceptScore W2017348162C136886441 @default.
• W2017348162 hasConceptScore W2017348162C144024400 @default.
• W2017348162 hasConceptScore W2017348162C150547873 @default.
• W2017348162 hasConceptScore W2017348162C161840515 @default.
• W2017348162 hasConceptScore W2017348162C19165224 @default.
• W2017348162 hasConceptScore W2017348162C205649164 @default.
• W2017348162 hasConceptScore W2017348162C39432304 @default.
• W2017348162 hasConceptScore W2017348162C41008148 @default.
• W2017348162 hasConceptScore W2017348162C58640448 @default.
• W2017348162 hasConceptScore W2017348162C62649853 @default.
• W2017348162 hasIssue "1" @default.
• W2017348162 hasLocation W20173481621 @default.
• W2017348162 hasOpenAccess W2017348162 @default.
• W2017348162 hasPrimaryLocation W20173481621 @default.
• W2017348162 hasRelatedWork W1482120113 @default.
• W2017348162 hasRelatedWork W2107082048 @default.
• W2017348162 hasRelatedWork W2135595816 @default.
• W2017348162 hasRelatedWork W2360751565 @default.
• W2017348162 hasRelatedWork W2373184633 @default.
• W2017348162 hasRelatedWork W2374014792 @default.

• next