Abstract
Knowledge-based or rule-based classification schemes provide robust classification of normally a few major classes. In order to determine optimum polarimetric parameters for such classification schemes, a study has been performed, where the separability between different sets of major classes using many different polarimetric parameters has been investigated using airborne, C- and L-band polarimetric SAR data.
Original language | English |
---|---|
Title of host publication | IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM : SENSING AND UNDERSTANDING OUR PLANET |
Publisher | IEEE |
Publication date | 2007 |
Pages | 4195-4198 |
ISBN (Print) | 978-1-4244-1211-2 |
DOIs | |
Publication status | Published - 2007 |
Event | 2007 IEEE International Geoscience and Remote Sensing Symposium - Barcelona, Spain Duration: 23 Jul 2007 → 28 Jul 2007 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4422707 |
Conference
Conference | 2007 IEEE International Geoscience and Remote Sensing Symposium |
---|---|
Country/Territory | Spain |
City | Barcelona |
Period | 23/07/2007 → 28/07/2007 |
Internet address |