Dataset Open Access

Polymers Hyperspectral Imaging

Arbash, Elias; de Lima Ribeiro, Andrea; Rizaldy, Aldino; Fuchs, Margret; Ghamisi, Pedram; Scheunders, Paul; Gloaguen, Richard

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  <identifier identifierType="DOI">10.14278/rodare.3390</identifier>
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    <creator>
      <creatorName>Arbash, Elias</creatorName>
      <givenName>Elias</givenName>
      <familyName>Arbash</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0000-2187-9171</nameIdentifier>
      <affiliation>Helmholtz Institute Freiberg</affiliation>
    </creator>
    <creator>
      <creatorName>de Lima Ribeiro, Andrea</creatorName>
      <givenName>Andrea</givenName>
      <familyName>de Lima Ribeiro</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0096-3627</nameIdentifier>
      <affiliation>Helmholtz Institute Freiberg</affiliation>
    </creator>
    <creator>
      <creatorName>Rizaldy, Aldino</creatorName>
      <givenName>Aldino</givenName>
      <familyName>Rizaldy</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0004-4138-7878</nameIdentifier>
      <affiliation>Helmholtz Institute Freiberg</affiliation>
    </creator>
    <creator>
      <creatorName>Fuchs, Margret</creatorName>
      <givenName>Margret</givenName>
      <familyName>Fuchs</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7210-1132</nameIdentifier>
      <affiliation>Helmholtz Institute Freiberg</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 Institute Freiberg</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>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 Institute Freiberg</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Polymers Hyperspectral Imaging</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Hyperspectral Image Classification</subject>
    <subject>Plastic</subject>
    <subject>Polymers</subject>
    <subject>E-waste</subject>
    <subject>Deep Learning</subject>
    <subject>Machine Learning</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2024-12-08</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/3390</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-40592</relatedIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.3389</relatedIdentifier>
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  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Polymers Dataset&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;p&gt;Description:&lt;/p&gt;&#13;
&#13;
&lt;p&gt;The polymers dataset is a multiscene Hyperspectral benchmark dataset comprising of reference polymer samples and shredded polymer samples in the visible to short-wave infrared, capturing 450 bands within the [400–2500] nm range using an AisaFENIX (Spectral Imaging Ltd, Oulu, Finland) spectrometer. &lt;/p&gt;&#13;
&#13;
&lt;p&gt;Two sample batches were investigated:&lt;/p&gt;&#13;
&#13;
&lt;ul&gt;&#13;
 &lt;li&gt;reference polymers of known composition and dimensions (15 X 10) cm, commonly found in e-waste.&lt;/li&gt;&#13;
 &lt;li&gt;shredded pieces of polymers with sizes ranging from (0.3–4) cm.&lt;/li&gt;&#13;
&lt;/ul&gt;&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Data Format&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;ul&gt;&#13;
 &lt;li&gt;HSI data: each hyperspectral data cube is accompanied by a data file and a .hdr file.&lt;/li&gt;&#13;
 &lt;li&gt;Ground truth mask: .png file (only for multi samples scenes)&lt;/li&gt;&#13;
&lt;/ul&gt;&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Folder Organization&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;ul&gt;&#13;
 &lt;li&gt;Polymers&#13;
 &lt;ul&gt;&#13;
  &lt;li&gt;Test&#13;
  &lt;ul&gt;&#13;
   &lt;li&gt;HSI: .dat &amp; .hdr&lt;/li&gt;&#13;
   &lt;li&gt;Ground truth mask: test.png&lt;/li&gt;&#13;
   &lt;li&gt;False colour representation of the scene: .png&lt;/li&gt;&#13;
  &lt;/ul&gt;&#13;
  &lt;/li&gt;&#13;
  &lt;li&gt;Train&#13;
  &lt;ul&gt;&#13;
   &lt;li&gt;HSI_ : 3 different scans of reference samples scanned&lt;/li&gt;&#13;
   &lt;li&gt;PC, PE, PET, PP: Hyperspectral cubes (11x11x450) .hdr &amp; .dat&lt;/li&gt;&#13;
  &lt;/ul&gt;&#13;
  &lt;/li&gt;&#13;
 &lt;/ul&gt;&#13;
 &lt;/li&gt;&#13;
&lt;/ul&gt;&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Data Classes in Masks&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;ul&gt;&#13;
 &lt;li&gt;Masks contain 1 to 6 segmentation classes:&#13;
 &lt;ul&gt;&#13;
  &lt;li&gt;1: "PP"&lt;/li&gt;&#13;
  &lt;li&gt;2: "Black Plastic"&lt;/li&gt;&#13;
  &lt;li&gt;3: "PVC"&lt;/li&gt;&#13;
  &lt;li&gt;4: "PET"&lt;/li&gt;&#13;
  &lt;li&gt;5: "ABS"&lt;/li&gt;&#13;
  &lt;li&gt;6: "PE"&lt;/li&gt;&#13;
 &lt;/ul&gt;&#13;
 &lt;/li&gt;&#13;
&lt;/ul&gt;&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Code Repository&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;p&gt;To facilitate reading and working with the data, Python codes are available on the GitHub repository:&lt;/p&gt;&#13;
&#13;
&lt;p&gt;https://github.com/hifexplo&lt;/p&gt;&#13;
&#13;
&lt;p&gt;https://github.com/Elias-Arbash&lt;/p&gt;&#13;
&#13;
&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Citation&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;p&gt;If you use this dataset, please cite the following article: (To be filled once published)&lt;/p&gt;&#13;
&#13;
&#13;
&#13;
&lt;p&gt;&lt;strong&gt;Contact&lt;/strong&gt;&lt;/p&gt;&#13;
&#13;
&lt;p&gt;For further information or inquiries, please visit our website:&lt;/p&gt;&#13;
&#13;
&lt;p&gt;https://www.iexplo.space/&lt;/p&gt;&#13;
&#13;
&lt;p&gt;Contact Email: e.arbash@hzdr.de&lt;/p&gt;</description>
    <description descriptionType="Other">The HSI dataset of the work: INVESTIGATING STATE OF THE ART HYPERSPECTRAL IMAGING CLASSIFICATION MODELS FOR PLASTIC TYPES IDENTIFICATION</description>
  </descriptions>
</resource>
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Publication date:
December 8, 2024
DOI:
10.14278/rodare.3390

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Keyword(s):
Hyperspectral Image Classification Plastic Polymers E-waste Deep Learning Machine Learning
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-40592
Referenced by:
https://www.hzdr.de/publications/Publ-40590
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License (for files):
Creative Commons Attribution 4.0 International

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