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.
| Original language | English |
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| Title of host publication | Proceedings of IGARSS 2013 |
| Publisher | IEEE |
| Publication date | 2013 |
| Pages | 3451-3454 |
| ISBN (Print) | 978-1-4799-1114-1 |
| Publication status | Published - 2013 |
| Event | 2013 IEEE International Geoscience and Remote Sensing Symposium - Melbourne, Australia Duration: 21 Jul 2013 → 26 Jul 2013 https://ieeexplore.ieee.org/xpl/conhome/6704876/proceeding |
Conference
| Conference | 2013 IEEE International Geoscience and Remote Sensing Symposium |
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| Country/Territory | Australia |
| City | Melbourne |
| Period | 21/07/2013 → 26/07/2013 |
| Internet address |