FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224321857> ?p ?o ?g. }

• W4224321857 endingPage "101809" @default.
• W4224321857 startingPage "101809" @default.
• W4224321857 abstract "Object-based features like spectral, topographic, and textural are supportive to determine debris-covered glacier classes. The original feature space includes relevant and irrelevant features. The inclusion of all these features increases the complexity and renders the classifier’s performance. Therefore, feature space optimization is requisite for the classification process. Previous studies have shown a rigorous exercise in manually selecting the best combination of features to define the target class and proven to be a time-consuming task. The present study proposed a hybrid feature selection technique to automate the selection of the best suitable features. This study aimed to reduce the classifier’s complexity and enhance the performance of the classification model. Relief-F and Pearson Correlation filter-based feature selection methods ranked features according to the relevance and filtered out irrelevant or less important features based on the defined condition. Later, the hybrid model selected the common features to get an optimal feature set. The proposed hybrid model was tested on Landsat 8 images of debris-covered glaciers in Central Karakoram Range and validated with present glacier inventories. The results showed that the classification accuracy of the proposed hybrid feature selection model with a Decision Tree classifier is 99.82%, which is better than the classification results obtained using other mapping techniques. In addition, the hybrid feature selection technique has sped up the process of classification by reducing the number of features by 77% without compromising the classification accuracy." @default.
• W4224321857 created "2022-04-26" @default.
• W4224321857 creator A5008364652 @default.
• W4224321857 creator A5012474682 @default.
• W4224321857 creator A5012985171 @default.
• W4224321857 creator A5015408396 @default.
• W4224321857 creator A5038594490 @default.
• W4224321857 creator A5046671659 @default.
• W4224321857 creator A5072433873 @default.
• W4224321857 creator A5084537521 @default.
• W4224321857 creator A5089135936 @default.
• W4224321857 date "2022-11-01" @default.
• W4224321857 modified "2023-10-18" @default.
• W4224321857 title "A hybrid machine learning technique for feature optimization in object-based classification of debris-covered glaciers" @default.
• W4224321857 cites W1989540221 @default.
• W4224321857 cites W2022106079 @default.
• W4224321857 cites W2044465660 @default.
• W4224321857 cites W2062882213 @default.
• W4224321857 cites W2068323264 @default.
• W4224321857 cites W2073327029 @default.
• W4224321857 cites W2163669852 @default.
• W4224321857 cites W2194600065 @default.
• W4224321857 cites W2316847231 @default.
• W4224321857 cites W2330582472 @default.
• W4224321857 cites W2560175390 @default.
• W4224321857 cites W2580161010 @default.
• W4224321857 cites W2590379360 @default.
• W4224321857 cites W2796065709 @default.
• W4224321857 cites W2897301007 @default.
• W4224321857 cites W2916558994 @default.
• W4224321857 cites W2969025879 @default.
• W4224321857 cites W2969533727 @default.
• W4224321857 cites W2973941913 @default.
• W4224321857 cites W2987016131 @default.
• W4224321857 cites W2996948100 @default.
• W4224321857 cites W2998879183 @default.
• W4224321857 cites W3006567957 @default.
• W4224321857 cites W3045100306 @default.
• W4224321857 cites W3086548118 @default.
• W4224321857 cites W3104715597 @default.
• W4224321857 cites W3137037403 @default.
• W4224321857 cites W3154404459 @default.
• W4224321857 cites W3198990261 @default.
• W4224321857 cites W3213517733 @default.
• W4224321857 cites W4205713982 @default.
• W4224321857 cites W4322721236 @default.
• W4224321857 doi "https://doi.org/10.1016/j.asej.2022.101809" @default.
• W4224321857 hasPublicationYear "2022" @default.
• W4224321857 type Work @default.
• W4224321857 citedByCount "6" @default.
• W4224321857 countsByYear W42243218572022 @default.
• W4224321857 countsByYear W42243218572023 @default.
• W4224321857 crossrefType "journal-article" @default.
• W4224321857 hasAuthorship W4224321857A5008364652 @default.
• W4224321857 hasAuthorship W4224321857A5012474682 @default.
• W4224321857 hasAuthorship W4224321857A5012985171 @default.
• W4224321857 hasAuthorship W4224321857A5015408396 @default.
• W4224321857 hasAuthorship W4224321857A5038594490 @default.
• W4224321857 hasAuthorship W4224321857A5046671659 @default.
• W4224321857 hasAuthorship W4224321857A5072433873 @default.
• W4224321857 hasAuthorship W4224321857A5084537521 @default.
• W4224321857 hasAuthorship W4224321857A5089135936 @default.
• W4224321857 hasBestOaLocation W42243218571 @default.
• W4224321857 hasConcept C119857082 @default.
• W4224321857 hasConcept C124101348 @default.
• W4224321857 hasConcept C138885662 @default.
• W4224321857 hasConcept C139532973 @default.
• W4224321857 hasConcept C148483581 @default.
• W4224321857 hasConcept C153180895 @default.
• W4224321857 hasConcept C154945302 @default.
• W4224321857 hasConcept C2776401178 @default.
• W4224321857 hasConcept C41008148 @default.
• W4224321857 hasConcept C41895202 @default.
• W4224321857 hasConcept C52622490 @default.
• W4224321857 hasConcept C83665646 @default.
• W4224321857 hasConcept C84525736 @default.
• W4224321857 hasConcept C95623464 @default.
• W4224321857 hasConceptScore W4224321857C119857082 @default.
• W4224321857 hasConceptScore W4224321857C124101348 @default.
• W4224321857 hasConceptScore W4224321857C138885662 @default.
• W4224321857 hasConceptScore W4224321857C139532973 @default.
• W4224321857 hasConceptScore W4224321857C148483581 @default.
• W4224321857 hasConceptScore W4224321857C153180895 @default.
• W4224321857 hasConceptScore W4224321857C154945302 @default.
• W4224321857 hasConceptScore W4224321857C2776401178 @default.
• W4224321857 hasConceptScore W4224321857C41008148 @default.
• W4224321857 hasConceptScore W4224321857C41895202 @default.
• W4224321857 hasConceptScore W4224321857C52622490 @default.
• W4224321857 hasConceptScore W4224321857C83665646 @default.
• W4224321857 hasConceptScore W4224321857C84525736 @default.
• W4224321857 hasConceptScore W4224321857C95623464 @default.
• W4224321857 hasFunder F4320320834 @default.
• W4224321857 hasIssue "6" @default.
• W4224321857 hasLocation W42243218571 @default.
• W4224321857 hasLocation W42243218572 @default.
• W4224321857 hasLocation W42243218573 @default.
• W4224321857 hasOpenAccess W4224321857 @default.
• W4224321857 hasPrimaryLocation W42243218571 @default.

• next