DocumentCode :
3067453
Title :
A kernel version of multivariate alteration detection
Author :
Nielsen, Allan Aasbjerg ; Vestergaard, Jacob Schack
Author_Institution :
DTU Space - Nat. Space Inst., Tech. Univ. of Denmark, Lyngby, Denmark
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3451
Lastpage :
3454
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.
Keywords :
multivariable systems; operating system kernels; SPOT HRV data; kMAD; kernel canonical correlation analysis; kernel version; multivariate alteration detection; Correlation; Eigenvalues and eigenfunctions; Equations; Heart rate variability; Kernel; Remote sensing; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723571
Filename :
6723571
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3067453
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