DocumentCode :
3300054
Title :
Estimation of building density using Terrasar-X-Data
Author :
Schmidt, Martin ; Esch, Thomas ; Klein, Doris ; Thiel, Michael ; Decha, Stefan
Author_Institution :
German Remote Sensing Data Center, German Aerosp. Center, Wessling, Germany
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
1936
Lastpage :
1939
Abstract :
This study presents an approach towards the estimation of building density by utilizing the intensity data of the German space borne very high resolution SAR system TerraSAR-X. By using reference data we segmented a SAR scene of the city of Munich, Germany, on the scale of city blocks. Then we computed first order statistics and texture measures according to Haralick on the image objects. We used a random forests regression algorithm to establish the relationship between these features and the building density taken from reference data. The result is a promising coefficient of determination of 0.63.
Keywords :
building; feature extraction; radar imaging; regression analysis; spaceborne radar; synthetic aperture radar; TerraSAR-X data; building density estimation; random forests regression algorithm; space borne very high resolution SAR system; Buildings; Cities and towns; Decision trees; Feature extraction; Pixel; Training; Urban areas; GLCM; SAR; TerraSAR-X; building density; random forests; texture; urban;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5649543
Filename :
5649543
Link To Document :
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