Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration

The block adjustment of interferometric synthetic aperture radar (InSAR) digital surface model (DSM) is a crucial step in elevation calibration. Local slope and aspect can directly affect the occurrence of geometric distortions in InSAR DSM, such as foreshortening, shadow, and layover, severely decr...

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Main Authors: Chenglong Cao, Zhiwei Li, Liqun Liu, Mi Jiang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10989579/
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author Chenglong Cao
Zhiwei Li
Liqun Liu
Mi Jiang
author_facet Chenglong Cao
Zhiwei Li
Liqun Liu
Mi Jiang
author_sort Chenglong Cao
collection DOAJ
description The block adjustment of interferometric synthetic aperture radar (InSAR) digital surface model (DSM) is a crucial step in elevation calibration. Local slope and aspect can directly affect the occurrence of geometric distortions in InSAR DSM, such as foreshortening, shadow, and layover, severely decreasing elevation accuracy. Planimetric geolocation errors can lead to larger elevation errors, particularly in areas with significant terrain variation. Therefore, this study proposes a block adjustment method that considers local terrain information. First, terrain information such as slope and aspect are introduced into the construction of the elevation error model. Next, the new model is used to construct the error equation in block adjustment and the least squares method is used to solve the parameters and correct the elevation. Finally, twelve pairs of TanDEM-X coregistered single-look slant range complex images covering an area of approximately 1° × 1° in Guangdong, China, are used for experimental validation. Filtered Ice, Cloud, and land Elevation Satellite-2 points are used as ground control points and checkpoints, whereas Copernicus DSM30 is used for qualitative assessment. The results indicate that 1) the root mean square error of the adjusted DSMs elevation error decreases from 3.09 to 2.60 m after the introduction of the terrain information, resulting in an improvement in accuracy of approximately 15%. 2) The new method that considers terrain information outperforms the traditional polynomial model across different slope ranges. These results demonstrate the superiority of the proposed method.
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publishDate 2025-01-01
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spelling doaj-art-3c4ccb0e791c461199001fa97f8d986d2025-08-20T03:12:27ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118125011251010.1109/JSTARS.2025.356726310989579Terrain-Guided Block Adjustment for InSAR DSM Elevation CalibrationChenglong Cao0https://orcid.org/0009-0006-6940-3643Zhiwei Li1https://orcid.org/0000-0003-4575-5258Liqun Liu2https://orcid.org/0000-0001-9898-7103Mi Jiang3https://orcid.org/0000-0003-2459-4619School of Geosciences and Info-Physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha, ChinaSchool of Geospatial Engineering and Science, Sun Yat-Sen University, Guangzhou, ChinaThe block adjustment of interferometric synthetic aperture radar (InSAR) digital surface model (DSM) is a crucial step in elevation calibration. Local slope and aspect can directly affect the occurrence of geometric distortions in InSAR DSM, such as foreshortening, shadow, and layover, severely decreasing elevation accuracy. Planimetric geolocation errors can lead to larger elevation errors, particularly in areas with significant terrain variation. Therefore, this study proposes a block adjustment method that considers local terrain information. First, terrain information such as slope and aspect are introduced into the construction of the elevation error model. Next, the new model is used to construct the error equation in block adjustment and the least squares method is used to solve the parameters and correct the elevation. Finally, twelve pairs of TanDEM-X coregistered single-look slant range complex images covering an area of approximately 1° × 1° in Guangdong, China, are used for experimental validation. Filtered Ice, Cloud, and land Elevation Satellite-2 points are used as ground control points and checkpoints, whereas Copernicus DSM30 is used for qualitative assessment. The results indicate that 1) the root mean square error of the adjusted DSMs elevation error decreases from 3.09 to 2.60 m after the introduction of the terrain information, resulting in an improvement in accuracy of approximately 15%. 2) The new method that considers terrain information outperforms the traditional polynomial model across different slope ranges. These results demonstrate the superiority of the proposed method.https://ieeexplore.ieee.org/document/10989579/Block adjustmentelevation error modelinterferometric synthetic aperture radar (InSAR) digital surface model (DSM)local terrain information
spellingShingle Chenglong Cao
Zhiwei Li
Liqun Liu
Mi Jiang
Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Block adjustment
elevation error model
interferometric synthetic aperture radar (InSAR) digital surface model (DSM)
local terrain information
title Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration
title_full Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration
title_fullStr Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration
title_full_unstemmed Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration
title_short Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration
title_sort terrain guided block adjustment for insar dsm elevation calibration
topic Block adjustment
elevation error model
interferometric synthetic aperture radar (InSAR) digital surface model (DSM)
local terrain information
url https://ieeexplore.ieee.org/document/10989579/
work_keys_str_mv AT chenglongcao terrainguidedblockadjustmentforinsardsmelevationcalibration
AT zhiweili terrainguidedblockadjustmentforinsardsmelevationcalibration
AT liqunliu terrainguidedblockadjustmentforinsardsmelevationcalibration
AT mijiang terrainguidedblockadjustmentforinsardsmelevationcalibration