A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomog...
A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height
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Author / Creator
Peng, Xing , Li, Xinwu , Wang, Changcheng , Fu, Haiqiang and Du, Yanan
Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band and P-band radar. It is usual to apply nonparametric spectral estimation methods with a large number of snapshots over forest areas. The nonparametric iterative adaptive approach for ampl...
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Full title
A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height
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TN_cdi_doaj_primary_oai_doaj_org_article_0a1f5a3a0f6d47438ba0df996dc3ed5e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0a1f5a3a0f6d47438ba0df996dc3ed5e
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s18082459
