A kernel version of multivariate alteration detection |
Allan Aasbjerg Nielsen, Jacob Schack Vestergaard
|
| Abstract | Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations. |
| Type | Conference paper [With referee] |
| Conference | IEEE IGARSS |
| Year | 2013 Month July pp. 3451-3454 |
| Address | Melbourne, Victoria, Australia |
| Electronic version(s) | [pdf] |
| Publication link | http://www.igarss2013.org/ShowRecording.asp?C=5567FAE6 |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics, Geoinformatics |