piSVM1.2.1 Analytics Training (10x-CV optimized) 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) classification runs to analyse remote sensing hyperspectral images (52 land cover classes, 200 features). Indian raw: 1417x614x200 (training 10% and test) Parameters have been optimized using 10-fold cross-validation, more information available at: http://hdl.handle.net/11304/163ba8e8-fe60-11e4-8a18-f31aa6f4d448 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/9d5da9ade3704cc399c98c62266b039c
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/9d5da9ade3704cc399c98c62266b039c
Provenance
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 o2316598; o2316377; o2316602; sh; model; o2316601; o2316376; o2316321; o2316553; o2316603; o2316264; o2316265; o2316554; o2316420; o2316313; txt; o2316333; o2316314; o2316422
Size 810.0 MB; 64 files
Discipline Remote sensing