piSVM1.2.1 Analytics 10-Fold Cross-Validation Indian Pines Images Raw 200 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, 200 features). Indian raw: 1417x614x200 Supplemental material for paper study. Correspondending dataset (raw) available at: http://hdl.handle.net/11304/7e8eec8e-ad61-11e4-ac7e-860aa0063d1f

Identifier
Source https://b2share.eudat.eu/records/64cfa8ff3b124e6781f4753587aac2f1
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/64cfa8ff3b124e6781f4753587aac2f1
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 o2314776; o2315430; o2316263; o2314814; o2315418; o2316218; o2315371; o2314813; o2316261; o2316262; o2314781; o2315955; o2314777; o2315426; o2314775; sh; o2315424; o2315372; o2314778; o2315428; o2314780; o2314774; o2314779; o2315415; o2314815; txt; o2315416
Size 249.1 MB; 75 files
Discipline Remote sensing