Determination of the height of urban buildings based on nonparametric estimation of signal spectrum in SAR data tomography

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Omati Mehrnoosh; SAHEBI MAHMOOD REZA; AGHABABAEI HOSSEIN

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Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2021 | Volume:9 | Issue:3 Page(s): 25-38

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Title

Determination of the height of urban buildings based on nonparametric estimation of signal spectrum in SAR data tomography

Author(s)

Omati Mehrnoosh | SAHEBI MAHMOOD REZA | AGHABABAEI HOSSEIN | Issue Writer Certificate

Keywords

Tomography Technique

Spectral Estimation Analysis

TerraSAR-X Images

Urban Area

Abstract

Nowadays, the TomoSAR technique has been able to overcome the limitations of radar interferometry techniques in separating multiple scatterers of pixels by extending the principles of virtual aperture in the elevation direction and it has received a lot of attention in the analysis of the challenging urban areas. Despite the expectation of the cooperation of the different scattering components of buildings with different heights, wall and ceiling levels, ground, or tree trunks, the TomoSAR technique enables the retrieval of reflectivity function along elevation direction by applying a stack of images taken from different angles and analyzing the signal spectrum of all the image pixels in the two dimensional direction of Range and Azimoth. In this research, the capability of a new non-parametric method of signal spectrum estimation in the analysis of the third dimension of buildings in urban areas is investigated. By searching for coefficients of the automatic regression model in order to maximize the signal entropy and also separating the different noise levels, the proposed efficient estimator of the maximum entropy has been able to provide good performance in reconstructing three-dimensional information from the urban area. The implementation of the proposed algorithm by using 19 TerraSAR-X satellite images in the study of the third-millennium tower in Tehran with a height of 120 meters and comparing its results with Capon and Beamforming spectral estimation methods, indicates better performance of the proposed method in height reconstruction, the continuity of the reflectivity profile and the elimination of the effects of the side lobes.

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APA: Copy

Omati, Mehrnoosh, SAHEBI, MAHMOOD REZA, & AGHABABAEI, HOSSEIN. (2021). Determination of the height of urban buildings based on nonparametric estimation of signal spectrum in SAR data tomography. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 9(3 ), 25-38. SID. https://sid.ir/paper/1051628/en

Vancouver: Copy

Omati Mehrnoosh, SAHEBI MAHMOOD REZA, AGHABABAEI HOSSEIN. Determination of the height of urban buildings based on nonparametric estimation of signal spectrum in SAR data tomography. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2021;9(3 ):25-38. Available from: https://sid.ir/paper/1051628/en

IEEE: Copy

Mehrnoosh Omati, MAHMOOD REZA SAHEBI, and HOSSEIN AGHABABAEI, “Determination of the height of urban buildings based on nonparametric estimation of signal spectrum in SAR data tomography,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 9, no. 3 , pp. 25–38, 2021, [Online]. Available: https://sid.ir/paper/1051628/en

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