Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data

SAR tomography (TomoSAR) extends SAR interferometry (InSAR) to image a complex 3D scene with multiple scatterers within the same SAR cell. The phase calibration method and the super-resolution reconstruction method play a crucial role in 3D TomoSAR imaging from multi-baseline SAR stacks, and they bo...

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Main Authors: Lang Feng, Jan-Peter Muller, Chaoqun Yu, Chao Deng, Jingfa Zhang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/16/4093
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author Lang Feng
Jan-Peter Muller
Chaoqun Yu
Chao Deng
Jingfa Zhang
author_facet Lang Feng
Jan-Peter Muller
Chaoqun Yu
Chao Deng
Jingfa Zhang
author_sort Lang Feng
collection DOAJ
description SAR tomography (TomoSAR) extends SAR interferometry (InSAR) to image a complex 3D scene with multiple scatterers within the same SAR cell. The phase calibration method and the super-resolution reconstruction method play a crucial role in 3D TomoSAR imaging from multi-baseline SAR stacks, and they both influence the accuracy of the 3D SAR tomographic imaging results. This paper presents a systematic processing method for 3D SAR tomography imaging. Moreover, with the newly released TanDEM-X 12 m DEM, this study proposes a new phase calibration method based on SAR InSAR and DEM error estimation with the super-resolution reconstruction compressive sensing (CS) method for 3D TomoSAR imaging using COSMO-SkyMed Spaceborne SAR data. The test, fieldwork, and results validation were executed at Zipingpu Dam, Dujiangyan, Sichuan, China. After processing, the 1 m resolution TomoSAR elevation extraction results were obtained. Against the terrestrial Lidar ‘truth’ data, the elevation results were shown to have an accuracy of 0.25 ± 1.04 m and a RMSE of 1.07 m in the dam area. The results and their subsequent validation demonstrate that the X band data using the CS method are not suitable for forest structure reconstruction, but are fit for purpose for the elevation extraction of manufactured facilities including buildings in the urban area.
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spelling doaj.art-95b1dc4a45284e2a8c4b5889b317e2ec2023-11-30T22:20:56ZengMDPI AGRemote Sensing2072-42922022-08-011416409310.3390/rs14164093Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR DataLang Feng0Jan-Peter Muller1Chaoqun Yu2Chao Deng3Jingfa Zhang4Imaging Group, Mullard Space Science Laboratory (MSSL), Department of Space & Climate Physics, University College London, Holmbury St Mary RH5 6NT, UKImaging Group, Mullard Space Science Laboratory (MSSL), Department of Space & Climate Physics, University College London, Holmbury St Mary RH5 6NT, UKDepartment of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450052, ChinaDepartment of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450052, ChinaInstitute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, ChinaSAR tomography (TomoSAR) extends SAR interferometry (InSAR) to image a complex 3D scene with multiple scatterers within the same SAR cell. The phase calibration method and the super-resolution reconstruction method play a crucial role in 3D TomoSAR imaging from multi-baseline SAR stacks, and they both influence the accuracy of the 3D SAR tomographic imaging results. This paper presents a systematic processing method for 3D SAR tomography imaging. Moreover, with the newly released TanDEM-X 12 m DEM, this study proposes a new phase calibration method based on SAR InSAR and DEM error estimation with the super-resolution reconstruction compressive sensing (CS) method for 3D TomoSAR imaging using COSMO-SkyMed Spaceborne SAR data. The test, fieldwork, and results validation were executed at Zipingpu Dam, Dujiangyan, Sichuan, China. After processing, the 1 m resolution TomoSAR elevation extraction results were obtained. Against the terrestrial Lidar ‘truth’ data, the elevation results were shown to have an accuracy of 0.25 ± 1.04 m and a RMSE of 1.07 m in the dam area. The results and their subsequent validation demonstrate that the X band data using the CS method are not suitable for forest structure reconstruction, but are fit for purpose for the elevation extraction of manufactured facilities including buildings in the urban area.https://www.mdpi.com/2072-4292/14/16/4093spaceborne SAR tomographyelevation extractionphase calibrationcompressive sensing
spellingShingle Lang Feng
Jan-Peter Muller
Chaoqun Yu
Chao Deng
Jingfa Zhang
Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
Remote Sensing
spaceborne SAR tomography
elevation extraction
phase calibration
compressive sensing
title Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
title_full Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
title_fullStr Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
title_full_unstemmed Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
title_short Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
title_sort elevation extraction from spaceborne sar tomography using multi baseline cosmo skymed sar data
topic spaceborne SAR tomography
elevation extraction
phase calibration
compressive sensing
url https://www.mdpi.com/2072-4292/14/16/4093
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