Title :
Building height detection from high-resolution TerraSAR-X imagery and GIS data
Author :
Wen Liu ; Yamazaki, Fumio
Author_Institution :
Dept. of Urban Environ. Syst., Chiba Univ., Chiba, Japan
Abstract :
Due to the remarkable improvements that have been made in radar sensors, high-resolution SAR images are now available, thus providing detailed ground surface information. In this study, a new method is developed to detect building heights automatically using 2D GIS data and a single high-resolution TerraSAR-X (TSX) intensity image. A building in a SAR image shows a layover from the actual position in the direction of the sensor, due to the side-looking nature of SAR. Since the length of the layover is proportional to the height of the building, it can be used to estimate the building height. To do this, we shift the building shape obtained from 2D GIS data in the direction of the sensor. The proposed method was tested on a TSX image of San Francisco, U.S.A. in HighSpot mode, using a resolution of about 1 m. Comparing the result with that obtained using Lidar data, the RMS error was found to be less than 3 m, which is about the height of one building story.
Keywords :
buildings (structures); geographic information systems; geophysical image processing; optical radar; remote sensing by radar; sensors; synthetic aperture radar; terrain mapping; 2D GIS data; HighSpot mode; Lidar data; RMS error; San Francisco; USA; actual position; building height detection; building shape; building story; ground surface information; high-resolution SAR images; high-resolution TerraSAR-X imagery; layover length; radar sensor direction; side-looking SAR; single high-resolution TerraSAR-X intensity image; Backscatter; Buildings; Feature extraction; Image resolution; Laser radar; Sensors; Synthetic aperture radar;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2013 Joint
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4799-0213-2
Electronic_ISBN :
978-1-4799-0212-5
DOI :
10.1109/JURSE.2013.6550659