Abstract
Satellite Image Time Series (SITS) analysis is an important domain with various applications in land study. In the coming years, both high temporal and high spatial resolution SITS will be available. This article aims at providing both temporal and spatial analysis of SITS. We propose first segmenting each image of the series, and then using these segmentations in order to characterize each pixel of the data with a spatial dimension (i.e. with contextual information). Providing spatially characterized pixels, pixel-based temporal analysis can be performed. Experiments carried out with this methodology show the relevance of this approach and the significance of the resulting extracted patterns in the context of the analysis of SITS.
Original language | English |
---|---|
Title of host publication | 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 495-498 |
Number of pages | 4 |
ISBN (Print) | 9781457710056 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | IEEE International Geoscience and Remote Sensing Symposium 2011 - Vancouver Convention Center, Vancouver, Canada Duration: 24 Jul 2011 → 29 Jul 2011 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6034618 (IEEE Conference Proceedings) |
Conference
Conference | IEEE International Geoscience and Remote Sensing Symposium 2011 |
---|---|
Abbreviated title | IGARSS 2011 |
Country | Canada |
City | Vancouver |
Period | 24/07/11 → 29/07/11 |
Internet address |
|
Keywords
- Data Mining
- Mean-Shift
- Multi-temporal analysis
- Satellite Image Time Series
- Segmentation