Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894543590> ?p ?o ?g. }
- W2894543590 endingPage "26" @default.
- W2894543590 startingPage "16" @default.
- W2894543590 abstract "Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications. Some indices, such as normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), are capable of simply differentiating crop vitality and water stress. Nowadays, remote sensing capabilities with high spectral, spatial and temporal resolution are available to analyse classification problems in precision agriculture. Many challenges in precision agriculture can be addressed by supervised classification, such as crop type classification, disease and stress (e.g., grass, water and nitrogen) monitoring. Instead of performing classification based on designated indices, this paper explores direct classification using different bands information as features. Land cover classification by using the recently launched Sentinel-2A image is adopted as a case study to validate our method. Four approaches of featured band selection are compared to classify five classes (crop, tree, soil, water and road) with the support vector machines (SVMs) algorithm, where the first approach utilizes traditional empirical indices as features and the latter three approaches adopt specific bands (red, near infrared and short wave infrared) related to indices, specific bands after ranking by mutual information (MI), and full bands of on board sensors as features, respectively. It is shown that a better classification performance can be achieved by directly using the selected bands after MI ranking compared with the one using empirical indices and specific bands related to indices, while the use of all 13 bands can marginally improve the classification accuracy than MI based one. Therefore, it is recommended that this approach can be applied for specific Sentinel-2A image classification problems in precision agriculture." @default.
- W2894543590 created "2018-10-05" @default.
- W2894543590 creator A5001081849 @default.
- W2894543590 creator A5021774274 @default.
- W2894543590 creator A5057640343 @default.
- W2894543590 date "2018-09-27" @default.
- W2894543590 modified "2023-09-30" @default.
- W2894543590 title "Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture" @default.
- W2894543590 cites W1969548928 @default.
- W2894543590 cites W1978617972 @default.
- W2894543590 cites W1984457340 @default.
- W2894543590 cites W1988906717 @default.
- W2894543590 cites W1994378716 @default.
- W2894543590 cites W2008950984 @default.
- W2894543590 cites W2018467765 @default.
- W2894543590 cites W2035688573 @default.
- W2894543590 cites W2056435747 @default.
- W2894543590 cites W2065191898 @default.
- W2894543590 cites W2078829410 @default.
- W2894543590 cites W2087347434 @default.
- W2894543590 cites W2130989950 @default.
- W2894543590 cites W2154053567 @default.
- W2894543590 cites W2188098015 @default.
- W2894543590 cites W2331582811 @default.
- W2894543590 cites W2505990019 @default.
- W2894543590 cites W2536022914 @default.
- W2894543590 cites W2562763039 @default.
- W2894543590 cites W2566671333 @default.
- W2894543590 cites W2579318141 @default.
- W2894543590 cites W2770641139 @default.
- W2894543590 doi "https://doi.org/10.1007/s11633-018-1143-x" @default.
- W2894543590 hasPublicationYear "2018" @default.
- W2894543590 type Work @default.
- W2894543590 sameAs 2894543590 @default.
- W2894543590 citedByCount "35" @default.
- W2894543590 countsByYear W28945435902019 @default.
- W2894543590 countsByYear W28945435902020 @default.
- W2894543590 countsByYear W28945435902021 @default.
- W2894543590 countsByYear W28945435902022 @default.
- W2894543590 countsByYear W28945435902023 @default.
- W2894543590 crossrefType "journal-article" @default.
- W2894543590 hasAuthorship W2894543590A5001081849 @default.
- W2894543590 hasAuthorship W2894543590A5021774274 @default.
- W2894543590 hasAuthorship W2894543590A5057640343 @default.
- W2894543590 hasBestOaLocation W28945435901 @default.
- W2894543590 hasConcept C110083411 @default.
- W2894543590 hasConcept C111368507 @default.
- W2894543590 hasConcept C114700698 @default.
- W2894543590 hasConcept C118518473 @default.
- W2894543590 hasConcept C120217122 @default.
- W2894543590 hasConcept C12267149 @default.
- W2894543590 hasConcept C127313418 @default.
- W2894543590 hasConcept C127413603 @default.
- W2894543590 hasConcept C132651083 @default.
- W2894543590 hasConcept C142724271 @default.
- W2894543590 hasConcept C146978453 @default.
- W2894543590 hasConcept C153180895 @default.
- W2894543590 hasConcept C1549246 @default.
- W2894543590 hasConcept C154945302 @default.
- W2894543590 hasConcept C166957645 @default.
- W2894543590 hasConcept C169258074 @default.
- W2894543590 hasConcept C189430467 @default.
- W2894543590 hasConcept C19269812 @default.
- W2894543590 hasConcept C205649164 @default.
- W2894543590 hasConcept C2776133958 @default.
- W2894543590 hasConcept C41008148 @default.
- W2894543590 hasConcept C62649853 @default.
- W2894543590 hasConcept C71924100 @default.
- W2894543590 hasConceptScore W2894543590C110083411 @default.
- W2894543590 hasConceptScore W2894543590C111368507 @default.
- W2894543590 hasConceptScore W2894543590C114700698 @default.
- W2894543590 hasConceptScore W2894543590C118518473 @default.
- W2894543590 hasConceptScore W2894543590C120217122 @default.
- W2894543590 hasConceptScore W2894543590C12267149 @default.
- W2894543590 hasConceptScore W2894543590C127313418 @default.
- W2894543590 hasConceptScore W2894543590C127413603 @default.
- W2894543590 hasConceptScore W2894543590C132651083 @default.
- W2894543590 hasConceptScore W2894543590C142724271 @default.
- W2894543590 hasConceptScore W2894543590C146978453 @default.
- W2894543590 hasConceptScore W2894543590C153180895 @default.
- W2894543590 hasConceptScore W2894543590C1549246 @default.
- W2894543590 hasConceptScore W2894543590C154945302 @default.
- W2894543590 hasConceptScore W2894543590C166957645 @default.
- W2894543590 hasConceptScore W2894543590C169258074 @default.
- W2894543590 hasConceptScore W2894543590C189430467 @default.
- W2894543590 hasConceptScore W2894543590C19269812 @default.
- W2894543590 hasConceptScore W2894543590C205649164 @default.
- W2894543590 hasConceptScore W2894543590C2776133958 @default.
- W2894543590 hasConceptScore W2894543590C41008148 @default.
- W2894543590 hasConceptScore W2894543590C62649853 @default.
- W2894543590 hasConceptScore W2894543590C71924100 @default.
- W2894543590 hasIssue "1" @default.
- W2894543590 hasLocation W28945435901 @default.
- W2894543590 hasLocation W28945435902 @default.
- W2894543590 hasLocation W28945435903 @default.
- W2894543590 hasLocation W28945435904 @default.
- W2894543590 hasLocation W28945435905 @default.
- W2894543590 hasOpenAccess W2894543590 @default.