DocumentCode :
2073708
Title :
Semantic analysis of space imagery for mapping purposes
Author :
Karakis, S. ; Topan, H. ; Büyüksalih, G. ; Marangoz, A. ; Jacobsen, Karsten
fYear :
2005
fDate :
9-11 June 2005
Firstpage :
500
Lastpage :
504
Abstract :
From the area around Zonguldak several space images with different ground sampling distance (GSD) from 30m down to 62cm are available. The semantic information of Landsat images is too poor for the generation of topographic maps, while QuickBird images do allow a mapping in the scale 1:5000. Not only the GSD is determining the possible map scale, also the spectral and radiometric resolution is important. The imaging conditions, especially the sun elevation with the corresponding length of shadows, do lead to quite different results especially in cities with narrow streets. The possibilities and limitations of mapping with the different space images, partially with the same image type taken in different month, has been analysed.
Keywords :
geophysical signal processing; image processing; terrain mapping; Zonguldak; ground sampling distance; map scale; mapping; radiometric resolution; semantic analysis; shadows; space imagery; spectral resolution; sun elevation; Geographic Information Systems; Image analysis; Image quality; Image resolution; Image sampling; Jacobian matrices; Radiometry; Remote sensing; Satellites; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances in Space Technologies, 2005. RAST 2005. Proceedings of 2nd International Conference on
Print_ISBN :
0-7803-8977-8
Type :
conf
DOI :
10.1109/RAST.2005.1512620
Filename :
1512620
Link To Document :
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