FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2364261712> ?p ?o ?g. }

• W2364261712 endingPage "2559" @default.
• W2364261712 startingPage "2541" @default.
• W2364261712 abstract "Classification from remote-sensing data has proved to be fast and effective for mapping tree species. However, the interference from background noise and the weak spectral separability among most tree species have negative impacts on classification accuracy and may make conventional classification methods inappropriate. To solve this problem, a soft classification approach is presented. It consists of the technologies of soft partition, defuzzifying, and feature-location analyses referred to here as F-L analyses. The soft partition is conducted by combined binary support vector machines, enabling a natural prototype of fuzzy clusters to be formed. Unsure members members means both patches and pixels in the clustering prototype can be defuzzified afterwards. F-L analyses run through the entire process in two ways: 1 by adding density description to feature space for classification and 2 through density-constrained defuzzifying. The former can enrich the feature space, thus making the soft partition perform better. By using the latter, the credibility of a class label is indicated by several weighted fuzzy measures in the form of hierarchical densities, thereby reducing the uncertainty of the defuzzifying. Experiments indicate that only 63% of members on average are surely allocated in a clustering prototype and the remainder can be ensured by the explored defuzzifying approach. The mean overall accuracy OA of the defuzzified members is very close to that of the originally allocated sure ones. A comparative assessment shows that the mean OA and mean kappa statistic value of members defuzzified using the explored fuzzy measure are, on average, 3.84 and 4.89% respectively higher than those using conventional maximum membership measures. Experiments also show that the former is superior to the latter in regard to the formation of complete tree crown objects." @default.
• W2364261712 created "2016-06-24" @default.
• W2364261712 creator A5022765386 @default.
• W2364261712 creator A5032454292 @default.
• W2364261712 creator A5077029078 @default.
• W2364261712 creator A5087603463 @default.
• W2364261712 date "2016-05-13" @default.
• W2364261712 modified "2023-09-27" @default.
• W2364261712 title "SVM-based soft classification of urban tree species using very high-spatial resolution remote-sensing imagery" @default.
• W2364261712 cites W1420908056 @default.
• W2364261712 cites W1964217023 @default.
• W2364261712 cites W1967621805 @default.
• W2364261712 cites W1971495154 @default.
• W2364261712 cites W1974763041 @default.
• W2364261712 cites W1985291094 @default.
• W2364261712 cites W1986806303 @default.
• W2364261712 cites W1989314352 @default.
• W2364261712 cites W1995716834 @default.
• W2364261712 cites W2007413732 @default.
• W2364261712 cites W2007447365 @default.
• W2364261712 cites W2012688023 @default.
• W2364261712 cites W2018027183 @default.
• W2364261712 cites W2019006578 @default.
• W2364261712 cites W2024899732 @default.
• W2364261712 cites W2026740818 @default.
• W2364261712 cites W2035324286 @default.
• W2364261712 cites W2039067795 @default.
• W2364261712 cites W2053216800 @default.
• W2364261712 cites W2055702517 @default.
• W2364261712 cites W2059854942 @default.
• W2364261712 cites W2062379328 @default.
• W2364261712 cites W2062594147 @default.
• W2364261712 cites W2063396028 @default.
• W2364261712 cites W2063907334 @default.
• W2364261712 cites W2067250807 @default.
• W2364261712 cites W2070676234 @default.
• W2364261712 cites W2072117730 @default.
• W2364261712 cites W2078619499 @default.
• W2364261712 cites W2079443987 @default.
• W2364261712 cites W2081608823 @default.
• W2364261712 cites W2084291846 @default.
• W2364261712 cites W2084999075 @default.
• W2364261712 cites W2093675281 @default.
• W2364261712 cites W2101244453 @default.
• W2364261712 cites W2109191549 @default.
• W2364261712 cites W2110161540 @default.
• W2364261712 cites W2111275757 @default.
• W2364261712 cites W2114828048 @default.
• W2364261712 cites W2121590087 @default.
• W2364261712 cites W2121623889 @default.
• W2364261712 cites W2124706543 @default.
• W2364261712 cites W2133059825 @default.
• W2364261712 cites W2138788795 @default.
• W2364261712 cites W2147283272 @default.
• W2364261712 cites W2156808278 @default.
• W2364261712 cites W2156909104 @default.
• W2364261712 cites W2885085815 @default.
• W2364261712 cites W4241839651 @default.
• W2364261712 cites W625186594 @default.
• W2364261712 doi "https://doi.org/10.1080/01431161.2016.1178867" @default.
• W2364261712 hasPublicationYear "2016" @default.
• W2364261712 type Work @default.
• W2364261712 sameAs 2364261712 @default.
• W2364261712 citedByCount "13" @default.
• W2364261712 countsByYear W23642617122016 @default.
• W2364261712 countsByYear W23642617122017 @default.
• W2364261712 countsByYear W23642617122018 @default.
• W2364261712 countsByYear W23642617122020 @default.
• W2364261712 countsByYear W23642617122021 @default.
• W2364261712 countsByYear W23642617122022 @default.
• W2364261712 countsByYear W23642617122023 @default.
• W2364261712 crossrefType "journal-article" @default.
• W2364261712 hasAuthorship W2364261712A5022765386 @default.
• W2364261712 hasAuthorship W2364261712A5032454292 @default.
• W2364261712 hasAuthorship W2364261712A5077029078 @default.
• W2364261712 hasAuthorship W2364261712A5087603463 @default.
• W2364261712 hasConcept C12267149 @default.
• W2364261712 hasConcept C153180895 @default.
• W2364261712 hasConcept C154945302 @default.
• W2364261712 hasConcept C205372480 @default.
• W2364261712 hasConcept C205649164 @default.
• W2364261712 hasConcept C2778102629 @default.
• W2364261712 hasConcept C3020199158 @default.
• W2364261712 hasConcept C41008148 @default.
• W2364261712 hasConcept C58640448 @default.
• W2364261712 hasConcept C62649853 @default.
• W2364261712 hasConceptScore W2364261712C12267149 @default.
• W2364261712 hasConceptScore W2364261712C153180895 @default.
• W2364261712 hasConceptScore W2364261712C154945302 @default.
• W2364261712 hasConceptScore W2364261712C205372480 @default.
• W2364261712 hasConceptScore W2364261712C205649164 @default.
• W2364261712 hasConceptScore W2364261712C2778102629 @default.
• W2364261712 hasConceptScore W2364261712C3020199158 @default.
• W2364261712 hasConceptScore W2364261712C41008148 @default.
• W2364261712 hasConceptScore W2364261712C58640448 @default.
• W2364261712 hasConceptScore W2364261712C62649853 @default.
• W2364261712 hasIssue "11" @default.
• W2364261712 hasLocation W23642617121 @default.

• next