Referenced Items are not available for this document.
High resolution optical remote sensing images allow to produce accurate land-cover maps. This is usually achieved using an ad-hoc mixture of image segmentation and supervised classification. The main drawback of this approach is that it does not scale for real world complete scenes. In this paper we present a framework which allows to implement this kind of image analysis without scale issues.
Published in:
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Date of Conference: 25-30 July 2010
- Page(s):
- 1863 - 1866
- ISSN :
- 2153-6996
- E-ISBN :
- 978-1-4244-9564-1
- Print ISBN:
- 978-1-4244-9565-8
- INSPEC Accession Number:
- 11686353
- Conference Location :
- Honolulu, HI
- Digital Object Identifier :
- 10.1109/IGARSS.2010.5653286
- Product Type:
- Conference Publications
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