October 12, 2021 Figure Closed Access

Rafiezadeh Shahi, Kasra; Rasti, Behnood; Ghamisi, Pedram; Scheunders, Paul; Gloaguen, Richard

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.14278/rodare.1306</identifier>
  <creators>
    <creator>
      <creatorName>Rafiezadeh Shahi, Kasra</creatorName>
      <givenName>Kasra</givenName>
      <familyName>Rafiezadeh Shahi</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3666-4223</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Rasti, Behnood</creatorName>
      <givenName>Behnood</givenName>
      <familyName>Rasti</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1091-9841</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Ghamisi, Pedram</creatorName>
      <givenName>Pedram</givenName>
      <familyName>Ghamisi</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1203-741X</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Scheunders, Paul</creatorName>
      <givenName>Paul</givenName>
      <familyName>Scheunders</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2447-4772</nameIdentifier>
      <affiliation>Imec-Visionlab, University of Antwerp</affiliation>
    </creator>
    <creator>
      <creatorName>Gloaguen, Richard</creatorName>
      <givenName>Richard</givenName>
      <familyName>Gloaguen</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4383-473X</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>When is the Right Time to Apply Denoising?</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-10-12</date>
  </dates>
  <resourceType resourceTypeGeneral="Image">Figure</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/1306</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/IGARSS47720.2021.9553263</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-33625</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.1305</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/closedAccess">Closed Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Remote sensing data is contaminated with different types&amp;nbsp;of noise that can severely affect the analysis of this data. Generally, in&amp;nbsp;modern treatment chains of satellite and aerial data,&amp;nbsp;denoising techniques are applied to atmospherically corrected&amp;nbsp;images prior to&amp;nbsp;further analysis (e.g., classification). However, since the noise contaminates the measured radiance at&amp;nbsp;the sensor, it can influence the&amp;nbsp;atmospheric correction in itself&amp;nbsp;and consequently the remaining of the processing chain. In&amp;nbsp;this paper, we compare the performance of&amp;nbsp;a denoising technique, when applied before or after atmospheric correction.&amp;nbsp;Our observations challenge the current de facto paradigm&amp;nbsp;of&amp;nbsp;denoising in a processing chain of spaceborne and airborne&amp;nbsp;remotely sensed images.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
</resource>