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Statistical Analysis for Wavelength-Resolution SARImage Stacks: New Case Studies
Fed Univ Pampa UNIPAMPA, Brasil.
Fed Univ Pampa UNIPAMPA, Brasil.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-0423-9927
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3945-8951
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2020 (English)In: XXXVIII SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES E PROCESSAMENTO DE SINAIS, 2020Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents new case studies for thestatistical analysis for wavelength resolution SAR image stacks.The statistical analysis considers the Anderson-Darling goodnessof-fit test in a set of pixel samples from the same position obtainedfrom a SAR image stack. The test is applied in wavelengthresolution SAR image stacks. The present work consists of twocase studies based on the use of multiple-pass stacks and TypeI error using the False Discovery Rate controlling procedures.In addition, an application scenario is presented for the studiedscenarios.

Place, publisher, year, edition, pages
2020.
Keywords [en]
Synthetic Aperture Radar (SAR), wavelengthresolution, image stacks, false discovery rate, FOPEN
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-24395OAI: oai:DiVA.org:bth-24395DiVA, id: diva2:1746301
Conference
XXXVIII SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES E PROCESSAMENTO DE SINAIS - SBrT 2020, 22–25 DE NOVEMBRO DE 2020, FLORIANÓPOLIS, SC
Available from: 2023-03-28 Created: 2023-03-28 Last updated: 2023-03-28Bibliographically approved

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Palm, BrunaVu, Viet ThuyPettersson, Mats

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CiteExportLink to record
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