Matches in SemOpenAlex for { <https://semopenalex.org/work/W128466749> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W128466749 abstract "In Geographic Object-based Image Analysis (GEOBIA), remote sensing experts benefit from a large spectrum of characteristics to interpret images (spectral information, texture, geometry, spatial relations, etc). However, the quality of a classification is not always increased by considering a higher number of features. The experts are then used to define classification rules based on a laborious trial-and-error process. In this paper, we test a methodology to automatically determine an optimal subset of features for discriminating features. This method assumes that a reference land cover map (or at least training samples) is available. Two approaches were considered: a rule-based approach and a Support Vector Machine approach. For each approach, the method consists in ranking the features according to their potential for discriminating two classes. This task was performed thanks to the Jeffries-Matusita distance and Support Vector Machine-Ranking Feature Extraction (SVM-RFE) algorithm. Then, it consists in training and validating a classification algorithm (rule-based and SVM), with an increasing number of features: first only the best-ranked feature is included in the classifier, then the two best-ranked features, etc., until all the N features are included. The objective is to analyze how the quality of the classification evolves according to the numbers of features used. The optimal subset of features is finally determined through the analysis of the Akaike information criterion. The methodology was tested on two classes (urban an non urban areas) on a Spot5 image regarding a study area located in the La Reunion island." @default.
- W128466749 created "2016-06-24" @default.
- W128466749 creator A5008973768 @default.
- W128466749 creator A5029352782 @default.
- W128466749 creator A5061122221 @default.
- W128466749 creator A5075153591 @default.
- W128466749 creator A5081075220 @default.
- W128466749 date "2013-04-13" @default.
- W128466749 modified "2023-10-17" @default.
- W128466749 title "Identifying optimal classification rules for geographic object-based image analysis" @default.
- W128466749 cites W16438121 @default.
- W128466749 cites W2070032191 @default.
- W128466749 cites W2098311569 @default.
- W128466749 cites W2143426320 @default.
- W128466749 cites W2149564878 @default.
- W128466749 cites W2163970536 @default.
- W128466749 cites W2769286363 @default.
- W128466749 cites W29643851 @default.
- W128466749 hasPublicationYear "2013" @default.
- W128466749 type Work @default.
- W128466749 sameAs 128466749 @default.
- W128466749 citedByCount "1" @default.
- W128466749 countsByYear W1284667492019 @default.
- W128466749 crossrefType "proceedings-article" @default.
- W128466749 hasAuthorship W128466749A5008973768 @default.
- W128466749 hasAuthorship W128466749A5029352782 @default.
- W128466749 hasAuthorship W128466749A5061122221 @default.
- W128466749 hasAuthorship W128466749A5075153591 @default.
- W128466749 hasAuthorship W128466749A5081075220 @default.
- W128466749 hasBestOaLocation W1284667491 @default.
- W128466749 hasConcept C115961682 @default.
- W128466749 hasConcept C124101348 @default.
- W128466749 hasConcept C153180895 @default.
- W128466749 hasConcept C154945302 @default.
- W128466749 hasConcept C2781238097 @default.
- W128466749 hasConcept C31972630 @default.
- W128466749 hasConcept C41008148 @default.
- W128466749 hasConcept C75294576 @default.
- W128466749 hasConceptScore W128466749C115961682 @default.
- W128466749 hasConceptScore W128466749C124101348 @default.
- W128466749 hasConceptScore W128466749C153180895 @default.
- W128466749 hasConceptScore W128466749C154945302 @default.
- W128466749 hasConceptScore W128466749C2781238097 @default.
- W128466749 hasConceptScore W128466749C31972630 @default.
- W128466749 hasConceptScore W128466749C41008148 @default.
- W128466749 hasConceptScore W128466749C75294576 @default.
- W128466749 hasLocation W1284667491 @default.
- W128466749 hasLocation W1284667492 @default.
- W128466749 hasLocation W1284667493 @default.
- W128466749 hasLocation W1284667494 @default.
- W128466749 hasLocation W1284667495 @default.
- W128466749 hasLocation W1284667496 @default.
- W128466749 hasOpenAccess W128466749 @default.
- W128466749 hasPrimaryLocation W1284667491 @default.
- W128466749 hasRelatedWork W1976518449 @default.
- W128466749 hasRelatedWork W2004825777 @default.
- W128466749 hasRelatedWork W2055598517 @default.
- W128466749 hasRelatedWork W2363276194 @default.
- W128466749 hasRelatedWork W2363366881 @default.
- W128466749 hasRelatedWork W2382480268 @default.
- W128466749 hasRelatedWork W2732837990 @default.
- W128466749 hasRelatedWork W2737719445 @default.
- W128466749 hasRelatedWork W2898210368 @default.
- W128466749 hasRelatedWork W4239098401 @default.
- W128466749 isParatext "false" @default.
- W128466749 isRetracted "false" @default.
- W128466749 magId "128466749" @default.
- W128466749 workType "article" @default.