FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2278677120> ?p ?o ?g. }

• W2278677120 abstract "Satellite remote sensing has essentially been applied in agriculture such as monitoring paddy growth stages, cropping schedule, and fertilizer management over vast areas. Many methods have been devoted for detecting paddy growth stages by deriving a certain profiles of vegetation indices from high temporal resolution satellite data. In this paper, we introduce a time-variant method referred to as a heuristic decision tree (HDT) for detecting 3-classes of paddy growth stages from a limited number of MODIS images and generalize the result through machine learning to predict the growth stages in time-invariant manner. We compared our proposed method to two previous studies in [8] and [9]. For the time-variant case, all methods are validated by 124 times of observation data among 50 reference points from field survey. After doing some adjustments for calculating the accuracy, the result shows that the accuracy for [8, 9], and our proposed method are 0.8951, 0.9375, and 0.9435 respectively. For the time-invariant case, we evaluate three Kernel-based Regularized (KR) classification methods, i.e. Principal Component Regression (KRPCR), Extreme Learning Machine (KR-ELM), and Support Vector Machine with radial basis function (RBF-SVM). All data samples are divided into training (25%) and testing (75%) sampling, and all models are trained and tested through 10-rounds random bootstrap re-sampling method to obtain more variety on hypothesis models during learning. The best model for each classifier method is defined as the one with the highest kappa coefficient during testing. The experimental results for 3-classes of paddy growth stages prediction show that the classification accuracy in testing for our proposed method of each learner are 0.8485, 0.8874, and 0.8252 respectively, whereas for previous study [8] are 0.6845, 0.7845, and 0.6949 respectively." @default.
• W2278677120 created "2016-06-24" @default.
• W2278677120 creator A5035442560 @default.
• W2278677120 creator A5036432976 @default.
• W2278677120 creator A5047887538 @default.
• W2278677120 creator A5081741492 @default.
• W2278677120 date "2015-11-24" @default.
• W2278677120 modified "2023-09-27" @default.
• W2278677120 title "A NEW HEURISTIC DECISION TREE AND TIME- INVARIANT DETECTION OF PADDY GROWTH STAGES FROM MODIS DATA" @default.
• W2278677120 cites W1552344301 @default.
• W2278677120 cites W1981101003 @default.
• W2278677120 cites W1996905547 @default.
• W2278677120 cites W2008692870 @default.
• W2278677120 cites W2016435228 @default.
• W2278677120 cites W2058723831 @default.
• W2278677120 cites W2067983477 @default.
• W2278677120 cites W2077109367 @default.
• W2278677120 cites W2093730316 @default.
• W2278677120 cites W2104269704 @default.
• W2278677120 cites W2111072639 @default.
• W2278677120 cites W2161902265 @default.
• W2278677120 doi "https://doi.org/10.5281/zenodo.34145" @default.
• W2278677120 hasPublicationYear "2015" @default.
• W2278677120 type Work @default.
• W2278677120 sameAs 2278677120 @default.
• W2278677120 citedByCount "0" @default.
• W2278677120 crossrefType "journal-article" @default.
• W2278677120 hasAuthorship W2278677120A5035442560 @default.
• W2278677120 hasAuthorship W2278677120A5036432976 @default.
• W2278677120 hasAuthorship W2278677120A5047887538 @default.
• W2278677120 hasAuthorship W2278677120A5081741492 @default.
• W2278677120 hasConcept C119857082 @default.
• W2278677120 hasConcept C12267149 @default.
• W2278677120 hasConcept C153180895 @default.
• W2278677120 hasConcept C154945302 @default.
• W2278677120 hasConcept C33923547 @default.
• W2278677120 hasConcept C41008148 @default.
• W2278677120 hasConcept C84525736 @default.
• W2278677120 hasConcept C95623464 @default.
• W2278677120 hasConceptScore W2278677120C119857082 @default.
• W2278677120 hasConceptScore W2278677120C12267149 @default.
• W2278677120 hasConceptScore W2278677120C153180895 @default.
• W2278677120 hasConceptScore W2278677120C154945302 @default.
• W2278677120 hasConceptScore W2278677120C33923547 @default.
• W2278677120 hasConceptScore W2278677120C41008148 @default.
• W2278677120 hasConceptScore W2278677120C84525736 @default.
• W2278677120 hasConceptScore W2278677120C95623464 @default.
• W2278677120 hasLocation W22786771201 @default.
• W2278677120 hasOpenAccess W2278677120 @default.
• W2278677120 hasPrimaryLocation W22786771201 @default.
• W2278677120 hasRelatedWork W2026221610 @default.
• W2278677120 hasRelatedWork W2039181142 @default.
• W2278677120 hasRelatedWork W2062204252 @default.
• W2278677120 hasRelatedWork W2386508795 @default.
• W2278677120 hasRelatedWork W2402632305 @default.
• W2278677120 hasRelatedWork W2547165326 @default.
• W2278677120 hasRelatedWork W2548247706 @default.
• W2278677120 hasRelatedWork W2912070466 @default.
• W2278677120 hasRelatedWork W2960002701 @default.
• W2278677120 hasRelatedWork W2981383845 @default.
• W2278677120 hasRelatedWork W2981495646 @default.
• W2278677120 hasRelatedWork W2999658315 @default.
• W2278677120 hasRelatedWork W3082114226 @default.
• W2278677120 hasRelatedWork W3150204327 @default.
• W2278677120 hasRelatedWork W3173287489 @default.
• W2278677120 hasRelatedWork W3174689322 @default.
• W2278677120 hasRelatedWork W3185878560 @default.
• W2278677120 hasRelatedWork W3200616373 @default.
• W2278677120 hasRelatedWork W3200921486 @default.
• W2278677120 hasRelatedWork W3202180478 @default.
• W2278677120 isParatext "false" @default.
• W2278677120 isRetracted "false" @default.
• W2278677120 magId "2278677120" @default.
• W2278677120 workType "article" @default.