August 14, 2020 Dataset Open Access

Michał Romaszewski; Przemysław Głomb; Arkadiusz Sochan; Michał Cholewa

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">ang</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Hyperspectral Imaging, Machine Learning, blood detection, classification, target detection</subfield>
  </datafield>
  <controlfield tag="005">20210709121846.0</controlfield>
  <controlfield tag="001">3984905</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ITAI PAS</subfield>
    <subfield code="0">(orcid)0000-0002-0215-4674</subfield>
    <subfield code="a">Przemysław Głomb</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ITAI PAS</subfield>
    <subfield code="0">(orcid)0000-0001-5803-0278</subfield>
    <subfield code="a">Arkadiusz Sochan</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ITAI PAS</subfield>
    <subfield code="0">(orcid)0000-0001-6549-1590</subfield>
    <subfield code="a">Michał Cholewa</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2289166366</subfield>
    <subfield code="z">md5:fb0eb022d05c90b0781550d9759a8f49</subfield>
    <subfield code="u">https://zenodo.org/record/3984905/files/HyperBlood.zip</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2020-08-14</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="o">oai:zenodo.org:3984905</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">ITAI PAS</subfield>
    <subfield code="0">(orcid)0000-0002-8227-929X</subfield>
    <subfield code="a">Michał Romaszewski</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">A Dataset for Evaluating Blood Detection in Hyperspectral Images</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;The sensitivity of hyperspectral imaging (imaging spectroscopy) to haemoglobin derivatives makes it a promising tool for detection and classification of blood. However, due to complexity and high dimensionality of hyperspectral images, the development of hyperspectral blood detection algorithms is challenging. To facilitate their development, we present a new hyperspectral blood detection dataset. This dataset consists of 14 hyperspectral images (ENVI format) of a mock-up scene containing blood and visually similar substances (e.g. artificial blood or tomato concentrate). Images were taken over a period of three weeks and differ in terms of background composition and lighting intensity. To facilitate the use of data, the dataset includes an annotation of classes: pixels where blood and similar substances are visible have been marked by the authors. The main intention behind the dataset is to serve as testing data for Machine Learning methods for hyperspectral target detection and classification.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">arxiv</subfield>
    <subfield code="i">cites</subfield>
    <subfield code="a">arXiv:2008.10254</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">url</subfield>
    <subfield code="i">references</subfield>
    <subfield code="a">https://github.com/iitis/HSI_blood_detection</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isDocumentedBy</subfield>
    <subfield code="a">10.1016/j.forsciint.2021.110701</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isCitedBy</subfield>
    <subfield code="a">10.3390/s20226666</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3984904</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3984905</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>