An Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor D...
An Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor Decomposition
About this item
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Author / Creator
You, Yanan , Wang, Rui and Zhou, Wenli
Publisher
Basel: MDPI AG
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Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The filtering of multi-pass synthetic aperture radar interferometry (InSAR) stack data is a necessary preprocessing step utilized to improve the accuracy of the object-based three-dimensional information inversion in urban area. InSAR stack data is composed of multi-temporal homogeneous data, which is regarded as a third-order tensor. The InSAR ten...
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Full title
An Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor Decomposition
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6069d1586b1f49fe9a0a656f14f8b7d3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6069d1586b1f49fe9a0a656f14f8b7d3
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs12162582
