Abstract
The forecast of human population distribution in Africa is limited by the lack of spatial urban expansion model and the quality of its data sources. One way to overcome this shortcoming is to integrate multi-source and multi-temporal data for improving the delineation and the characterization of human settlements. This paper presents a fully automatic fusion processing scheme of multi-temporal SAR and optical data for improving the segmentation of African urban areas.
Original language | English |
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Title of host publication | 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1159-1162 |
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 |
Keywords
- density
- fusion processing
- support vector machine (SVM)
- Urban expansion