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 |
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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 |
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Country/Territory | Italy |
City | Milan |
Period | 26/07/15 → 31/07/15 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences