piSVM1.2.1 Analytics 10-Fold Cross-Validation Indian Pines Images Processed 30 Features 52 Classes

piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) 10-fold cross-validation runs for model selection (gridsearch) in order to find best parameter set when analysing remote sensing hyperspectral images (52 land cover classes, 30 features). Indian processed:1417x614x30 Data preprocessed with PCA, ESDAP, NWFE. Supplemental material for paper study. Correspondending dataset (processed) available at: http://hdl.handle.net/11304/7e8eec8e-ad61-11e4-ac7e-860aa0063d1f

Identifier
Source https://b2share.eudat.eu/records/42de69f953e443259588cbe565bd7753
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/42de69f953e443259588cbe565bd7753
Provenance
Creator Morris Riedel
Publisher EUDAT B2SHARE; http://b2share.eudat.eu
Publication Year 2015
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact m.riedel(at)fz-juelich.de
Representation
Language English
Resource Type Other
Format o2321829; o2321842; o2321840; o2321819; o2321828; o2321837; o2321826; o2321832; o2321834; o2321830; o2321824; o2321841; o2321835; o2321831; sh; o2321839; o2321843; o2321833; o2321836; o2321822; o2321820; o2321823; o2321821; o2321818; o2321827; o2321838; txt
Size 227.3 MB; 75 files
Discipline Remote sensing