Abstract
Ordinal measures, based on the relative order of intensity values within window, provide a robust method for finding correspondences between non-ideal images. However, for medium sized windows their discriminatory power is low. To overcome this problem, they can be applied within a correlation-relaxation labelling framework. The advantages of this approach are demonstrated in application to cloud tracking in a sequence of Meteosat infrared images.
| Original language | English |
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| Pages | 1259-1261 |
| Number of pages | 3 |
| Publication status | Published - 1999 |
| Event | Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger Duration: 28 Jun 1999 → 2 Jul 1999 |
Conference
| Conference | Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' |
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| City | Hamburg, Ger |
| Period | 28/06/99 → 2/07/99 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences