Abstract
In this paper, we present a new framework for high-level processing of time series images, with particular reference to Sentinel-1 data. The proposed methodology has the goal of enhancing the interpretation of SAR imagery through the production of physical-based RGB composites, which are particularly suited for being easily interpreted by the human photo-interpreter, lowering the expertise level required for managing SAR data.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings |
| Publisher | IEEE |
| Pages | 3973-3976 |
| Number of pages | 4 |
| Volume | 2015-November |
| ISBN (Electronic) | 9781479979295 |
| DOIs | |
| Publication status | Published - 10 Nov 2015 |
| Event | IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015 |
Conference
| Conference | IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 |
|---|---|
| Country/Territory | Italy |
| City | Milan |
| Period | 26/07/15 → 31/07/15 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences
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