Title | ||
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An Urban Expansion Model For African Cities Using Fused Multi Temporal Optical And Sar Data |
Abstract | ||
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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. |
Year | Venue | Keywords |
---|---|---|
2015 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | Urban expansion, density, fusion processing, support vector machine (SVM) |
Field | DocType | ISSN |
Computer vision,Segmentation,Computer science,Synthetic aperture radar,Remote sensing,Artificial intelligence,Human settlement,Optical imaging,Urban expansion,Human population distribution | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michal Shimoni | 1 | 56 | 11.17 |
J. Lopez | 2 | 0 | 0.34 |
Y. Forget | 3 | 0 | 0.34 |
Eléonore Wolff | 4 | 51 | 7.90 |
C. Michellier | 5 | 0 | 0.34 |
T. Grippa | 6 | 31 | 5.70 |
Catherine Linard | 7 | 9 | 4.54 |
M. Gilbert | 8 | 3 | 1.83 |