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Hadi Yazdi

Biographic Data

ID6940317
NAMEHadi Yazdi
GIVEN NAMESHadi
FAMILY NAMEYazdi
SIGNATUREYAZDI H
AFFILIATIONSTechnical University of Munich
ORCID0000-0002-1429-5642
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran

    Open Access•Hadi Yazdi, Shina Sad Berenji et al.•ARTICLE•Heritage•2022•Cited by: 2•References: 1

    This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and accessibility to satellite images have created more opportunities to work on automated historical architecture feature recognition. Building on this, a c…

  • Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran

    Open Access•Hadi Yazdi, Shina Sad Berenji et al.•ARTICLE•Heritage•2022•Cited by: 2•References: 1

    This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and accessibility to satellite images have created more opportunities to work on automated historical architecture feature recognition. Building on this, a c…

  • Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran

    Open Access•Hadi Yazdi, Shina Sad Berenji et al.•ARTICLE•Heritage•2022•Cited by: 2•References: 1

    This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and accessibility to satellite images have created more opportunities to work on automated historical architecture feature recognition. Building on this, a c…

Archaeological Research and Protection (1 works) · Archaeology (1 works) · Architecture (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Convolutional neural network (1 works) · Deep learning (1 works) · Engineering (1 works) · Feature (linguistics (1 works) · Geography (1 works)

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