Building height extraction from multi-polarization SAR imagery based on backscattering model

doi:10.6046/gtzyyg.2017.02.06

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Abstract

With Radarsat-2 as an example, a method of building height extraction from multi-polarization SAR imagery was proposed based on backscattering model. First, the connected component of double- scattering of the buildings in the image was analyzed and its contribution to radar cross section was got simultaneously, which was a case study in urban areas of Beijing. Second, different polarization-scattering vectors were calculated based on parallelepiped- assumption, which was supported by quantifying buildings’ correlation length and the angle between radar’s azimuth and buildings’ main direction. Finally, optimal polarized combination was utilized, which was extracted by using backscattering model from the solution of geometrical optics-physical optics(Go-Po)first-order approximation and comparing the results from different regionally training areas at the same time. The experimental results show that optimal polarized combination produces much less errors than single-polarization imagery in extracting the height of entire experimental area, with 81.43% of buildings having errors less than 5 meters, root mean square error being 4.45, and correlation coefficient with ASTER GDEM being 0.909 5, which proves that the result in height extraction is reliable.

Keywords speeded-up robust features(SURF) blocking strategy relative distance theory image registration

Issue Date: 03 May 2017

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	PAN Jianping
	HAO Jianming
	ZHAO Jiping

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PAN Jianping,HAO Jianming,ZHAO Jiping. Building height extraction from multi-polarization SAR imagery based on backscattering model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 37-45.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.02.06 OR https://www.gtzyyg.com/EN/Y2017/V29/I2/37

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