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A Physics-Based Decorrelation Phase Covariance Model for Effective Decorrelation Noise Reduction in Interferogram Stacks

Zheng, Yujie and Zebker, Howard and Michaelides, Roger (2020) A Physics-Based Decorrelation Phase Covariance Model for Effective Decorrelation Noise Reduction in Interferogram Stacks. In: 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020). IEEE , Piscataway, NJ, pp. 16-19. ISBN 9781728163741. https://resolver.caltech.edu/CaltechAUTHORS:20210225-103912958

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Abstract

Here we present a physics-based decorrelation phase covariance model and discuss its role in effective decorrelation noise reduction in interferogram stacks. We test our model in both Cascadia - a rapidly decorrelating region, and Death Valley - a slowly decorrelating region, with observations collected by Sentinel-1. We find that in Cascadia, including redundant interferograms in the stack reduces phase variance from 0.28 rad² to 0.04 rad², while in Death Valley, both redundant and independent interferogram stacking yield phase variances of 0.10 rad². Both observations are consistent with predictions from our model. Comparing with three existing decorrelation phase covariance models, our proposed model matches observations with the smallest average discrepancy between theory and observations - 0.017 rad² in Cascadia and 0.066 rad² in Death Valley.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/IGARSS39084.2020.9323237DOIArticle
ORCID:
AuthorORCID
Zheng, Yujie0000-0001-9013-451X
Zebker, Howard0000-0001-9931-5237
Michaelides, Roger0000-0002-7577-6829
Additional Information:© 2020 IEEE. The first author performed the work while at Stanford University. Thanks to NASA Earth Science and Interior Grant for funding.
Funders:
Funding AgencyGrant Number
NASAUNSPECIFIED
Subject Keywords:Decorrelation noise, Covariance matrix, InSAR noise reduction
Record Number:CaltechAUTHORS:20210225-103912958
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210225-103912958
Official Citation:Y. Zheng, H. Zebker and R. Michaelides, "A Physics-Based Decorrelation Phase Covariance Model for Effective Decorrelation Noise Reduction in Interferogram Stacks," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 16-19, doi: 10.1109/IGARSS39084.2020.9323237
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108196
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:25 Feb 2021 19:12
Last Modified:25 Feb 2021 19:21

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