piSVM1.2.1 Analytics Training (10x-CV optimized) 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) classification runs to analyse remote sensing hyperspectral images (52 land cover classes, 30 features). Indian processed: 1417x614x30 (training 10% and test) Data preprocessed with PCA, ESDAP, NWFE. Parameters have been optimized using 10-fold cross-validation, more information available at: http://hdl.handle.net/11304/5bba8e36-fe63-11e4-8a18-f31aa6f4d448 Supplemental material for paper study. Corresponding dataset (processed) available at: http://hdl.handle.net/11304/7e8eec8e-ad61-11e4-ac7e-860aa0063d1f

Identifier
Source https://b2share.eudat.eu/records/37c30138588f4ae6a806f3142d696f81
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/37c30138588f4ae6a806f3142d696f81
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 o2321853; o2321850; o2321844; o2322709; o2322719; o2321856; o2321855; o2321848; o2321845; sh; model; o2321857; o2321849; o2321852; o2321847; o2321851; txt; o2323579; o2321854
Size 150.8 MB; 64 files
Discipline Remote sensing