Matches in SemOpenAlex for { <https://semopenalex.org/work/W2588393519> ?p ?o ?g. }
- W2588393519 endingPage "46" @default.
- W2588393519 startingPage "29" @default.
- W2588393519 abstract "The aim of this study was to evaluate and compare suitability of aerial hyperspectral data (AISA Dual and APEX sensors) and Sentinel-2A data for classification of tundra vegetation cover in the Krkonoše Mts. National Park. We compared classification results (accuracy, maps) of pixel-based (Maximum Likelihood, Suport Vector Machine and Neural Net) and object-based approaches. The best classification results (overall accuracy 84.3%, Kappa coefficient = 0.81) were achieved for AISA Dual data using per-pixel SVM classifier for 40 PCA bands. The best classification results of APEX though were only 1.7 percentage points lower. To get comparable results for Sentinel-2A classification legend had to be simplified. With the simplified legend the accuracy using MLC classifier reached 77.7%." @default.
- W2588393519 created "2017-02-24" @default.
- W2588393519 creator A5013254743 @default.
- W2588393519 creator A5031091173 @default.
- W2588393519 creator A5042761248 @default.
- W2588393519 creator A5061848382 @default.
- W2588393519 creator A5076698648 @default.
- W2588393519 creator A5078007093 @default.
- W2588393519 creator A5088985836 @default.
- W2588393519 date "2017-01-01" @default.
- W2588393519 modified "2023-10-18" @default.
- W2588393519 title "Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data" @default.
- W2588393519 cites W1501773993 @default.
- W2588393519 cites W1568463999 @default.
- W2588393519 cites W1967263051 @default.
- W2588393519 cites W1972923945 @default.
- W2588393519 cites W1974419126 @default.
- W2588393519 cites W1980627691 @default.
- W2588393519 cites W1981209996 @default.
- W2588393519 cites W1984792953 @default.
- W2588393519 cites W2026952547 @default.
- W2588393519 cites W2031401244 @default.
- W2588393519 cites W2043227842 @default.
- W2588393519 cites W2044465660 @default.
- W2588393519 cites W2050577314 @default.
- W2588393519 cites W2059682502 @default.
- W2588393519 cites W2063907334 @default.
- W2588393519 cites W2065800647 @default.
- W2588393519 cites W2076608976 @default.
- W2588393519 cites W2080680225 @default.
- W2588393519 cites W2086060411 @default.
- W2588393519 cites W2099129687 @default.
- W2588393519 cites W2102031718 @default.
- W2588393519 cites W2110817581 @default.
- W2588393519 cites W2121597613 @default.
- W2588393519 cites W2125047873 @default.
- W2588393519 cites W2127587696 @default.
- W2588393519 cites W2144841545 @default.
- W2588393519 cites W2146027836 @default.
- W2588393519 cites W2148899000 @default.
- W2588393519 cites W2169500530 @default.
- W2588393519 cites W2225262260 @default.
- W2588393519 cites W2268409078 @default.
- W2588393519 cites W2327958426 @default.
- W2588393519 cites W2338198572 @default.
- W2588393519 cites W2338779464 @default.
- W2588393519 cites W2339708564 @default.
- W2588393519 cites W2341733731 @default.
- W2588393519 cites W2412014951 @default.
- W2588393519 doi "https://doi.org/10.1080/22797254.2017.1274573" @default.
- W2588393519 hasPublicationYear "2017" @default.
- W2588393519 type Work @default.
- W2588393519 sameAs 2588393519 @default.
- W2588393519 citedByCount "24" @default.
- W2588393519 countsByYear W25883935192017 @default.
- W2588393519 countsByYear W25883935192018 @default.
- W2588393519 countsByYear W25883935192019 @default.
- W2588393519 countsByYear W25883935192020 @default.
- W2588393519 countsByYear W25883935192022 @default.
- W2588393519 countsByYear W25883935192023 @default.
- W2588393519 crossrefType "journal-article" @default.
- W2588393519 hasAuthorship W2588393519A5013254743 @default.
- W2588393519 hasAuthorship W2588393519A5031091173 @default.
- W2588393519 hasAuthorship W2588393519A5042761248 @default.
- W2588393519 hasAuthorship W2588393519A5061848382 @default.
- W2588393519 hasAuthorship W2588393519A5076698648 @default.
- W2588393519 hasAuthorship W2588393519A5078007093 @default.
- W2588393519 hasAuthorship W2588393519A5088985836 @default.
- W2588393519 hasBestOaLocation W25883935191 @default.
- W2588393519 hasConcept C111368507 @default.
- W2588393519 hasConcept C12267149 @default.
- W2588393519 hasConcept C125069764 @default.
- W2588393519 hasConcept C127313418 @default.
- W2588393519 hasConcept C142724271 @default.
- W2588393519 hasConcept C153180895 @default.
- W2588393519 hasConcept C154945302 @default.
- W2588393519 hasConcept C159078339 @default.
- W2588393519 hasConcept C160633673 @default.
- W2588393519 hasConcept C2524010 @default.
- W2588393519 hasConcept C2776133958 @default.
- W2588393519 hasConcept C33923547 @default.
- W2588393519 hasConcept C41008148 @default.
- W2588393519 hasConcept C518008717 @default.
- W2588393519 hasConcept C62649853 @default.
- W2588393519 hasConcept C67139541 @default.
- W2588393519 hasConcept C71924100 @default.
- W2588393519 hasConceptScore W2588393519C111368507 @default.
- W2588393519 hasConceptScore W2588393519C12267149 @default.
- W2588393519 hasConceptScore W2588393519C125069764 @default.
- W2588393519 hasConceptScore W2588393519C127313418 @default.
- W2588393519 hasConceptScore W2588393519C142724271 @default.
- W2588393519 hasConceptScore W2588393519C153180895 @default.
- W2588393519 hasConceptScore W2588393519C154945302 @default.
- W2588393519 hasConceptScore W2588393519C159078339 @default.
- W2588393519 hasConceptScore W2588393519C160633673 @default.
- W2588393519 hasConceptScore W2588393519C2524010 @default.
- W2588393519 hasConceptScore W2588393519C2776133958 @default.
- W2588393519 hasConceptScore W2588393519C33923547 @default.