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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gueguen, L. Pesaresi, M. Soille, P. |
| Copyright Year | 2011 |
| Description | Author affiliation: IPSC Global Security and Crisis Management Unit, Joint Research Centre, European Commission, Via E. Fermi, 2749, I-21027 Ispra (Va), Italy (Gueguen, L.; Pesaresi, M.; Soille, P.) |
| Abstract | Very High Resolution (VHR) satellite images are products which are very useful for assessing humanitarian situations following a disaster or a crisis. When disaster or conflict hits, generally several square kilometers on Earth surface are involved. Having a high resolution and an extended surface, the scenes, from which the information is extracted, become huge in the number of pixels. Built-up structures are the first visible objects from these images which give information about the situation. In this paper, an interactive image mining paradigm is presented for detecting structures of interest in gigapixel images. The proposed approach is tested for refugee tents detection in submetric panchromatic image. |
| Starting Page | 1581 |
| Ending Page | 1584 |
| File Size | 571182 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457710032 |
| ISSN | 21537003 |
| e-ISBN | 9781457710056 |
| DOI | 10.1109/IGARSS.2011.6049373 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-24 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Accuracy Support vector machines Complexity theory Image segmentation Feature extraction Remote sensing detection Image information mining VHR images |
| Content Type | Text |
| Resource Type | Article |
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