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<bibitem type="K">   <ARLID>0562647</ARLID> <utime>20240103230933.3</utime><mtime>20221019235959.9</mtime>              <title language="eng" primary="1">Multimodal data fusion in remote sensing</title>  <specification> <page_count>1 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0563136</ARLID><title>České uživatelské fórum Copernicus 2021</title><part_num/><part_title/><publisher><place>Praha</place><name>Česká informační agentura životního prostředí</name><year>2021</year></publisher></serial>    <keyword>remote sensing</keyword>   <keyword>thermal sharpening</keyword>   <keyword>sentinel</keyword>    <author primary="1"> <ARLID>cav_un_auth*0380013</ARLID> <name1>Greško</name1> <name2>Šimon</name2> <institution>UTIA-B</institution> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept language="eng">Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department language="eng">ZOI</department> <country>CZ</country>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101238</ARLID> <name1>Zitová</name1> <name2>Barbara</name2> <institution>UTIA-B</institution> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <full_dept>Department of Image Processing</full_dept> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2022/ZOI/gresko-0562647.pdf</url> </source>         <cas_special> <project> <project_id>StrategieAV21/1</project_id> <agency>AV ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0328930</ARLID> </project>  <abstract language="eng" primary="1">With fast development of remote sensing technologies, demand for remote sensing data started to be increasing. Providing space resolution of these data may not be sufficient for target application. For that reason the methods for fusing remote sensing images were developed. This issue appears in the question of demand for high resolution thermal data. Sentinel-3 provides free remote sensing thermal data with space resolution 1000x1000 m, which may be insufficient for some specialized applications. In this thesis, standard methods of image fusion are presented as well as specialized methods for thermal sharpening, their modifications, implementation and results including validation and comparison.</abstract>    <action target="CST"> <ARLID>cav_un_auth*0431228</ARLID> <name>České uživatelské fórum Copernicus 2021</name>  <dates>20211109</dates> <unknown tag="mrcbC20-s">20211110</unknown> <place>Praha</place> <country>CZ</country>  </action>  <RIV>IN</RIV> <FORD0>10000</FORD0> <FORD1>10200</FORD1> <FORD2>10201</FORD2>   <reportyear>2023</reportyear>      <num_of_auth>2</num_of_auth>  <presentation_type> PO </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0335177</permalink>  <unknown tag="mrcbC61"> 1 </unknown>  <confidential>S</confidential>        <arlyear>2021</arlyear>       <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0563136 České uživatelské fórum Copernicus 2021 Praha Česká informační agentura životního prostředí 2021 </unknown> </cas_special> </bibitem>