DocumentCode :
2830344
Title :
Satellite SAR and Human Settlement Detection
Author :
Gamba, Paolo ; Dell´Acqua, Fabio ; Trianni, Giovanna
Author_Institution :
Univ. of Pavia, Pavia
fYear :
2007
fDate :
11-13 April 2007
Firstpage :
1
Lastpage :
4
Abstract :
Due to the peculiar features of human settlement areas, with enormous variance of objects and the resulting variability and possibly also ambiguity of data, such areas represent the most demanding cases for information extraction from SAR data. This research is particularly aimed at human settlement mapping at a regional scale. Indeed, informal settlement monitoring is an important topic for the many national and international initiatives including GMES and the humanitarian and development aid policies of major countries. Also, monitoring settlements is related to phenomena like illegal immigration that are very high on the list of policy makers; finally, SAR is still underestimated as a reliable source of data. From a technical point of view, this work is based on the integration of spatial information extracted from SAR data to reach a suitable mapping accuracy for urban areas. In particular, the use of co-occurrence textural features has been considered, and the role of the spatial scales in the images for determining different environment investigated. In particular, the procedure will be discussed for the Chinese region of Wuhan using ENVISAT SAR data.
Keywords :
remote sensing by radar; synthetic aperture radar; data ambiguity; human settlement detection; human settlement mapping; illegal immigration; informal settlement monitoring; information extraction; satellite SAR data; Data mining; Earthquake engineering; Event detection; Geoscience; Humans; Object detection; Remote monitoring; Remote sensing; Satellites; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Joint Event, 2007
Conference_Location :
Paris
Print_ISBN :
1-4244-0712-5
Electronic_ISBN :
1-4244-0712-5
Type :
conf
DOI :
10.1109/URS.2007.371872
Filename :
4234471
Link To Document :
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