Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Umut Aydar

Biographic Data

ID383990
NAMEUmut Aydar
GIVEN NAMESUmut
FAMILY NAMEAydar
SIGNATUREAYDAR U
AFFILIATIONSIstanbul Technical University
ORCID0000-0002-3987-6435
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Semantic Segmentation of High-Resolution Airborne Images with Dual-Stream DeepLabV3

    Open Access•Ozgun Akcay, Ahmet Cumhur Kinaci et al.•ARTICLE•ISPRS International Journal of…•2021

    In geospatial applications such as urban planning and land use management, automatic detection and classification of earth objects are essential and primary subjects. When the significant semantic segmentation algorithms are considered, DeepLabV3+ stands out as a state-of-the-art CNN. Although the DeepLabV3+ model is capable of extracting multi-scale contextual information, there is still a need for multi-stream architectural approaches and diffe…

  • Digital modeling of world's first known length reference unit

    Open Access•Zaide Duran, Umut Aydar•ARTICLE•Journal of Cultural Heritage•2012•Cited by: 1

  • Digital modeling of world's first known length reference unit

    Open Access•Zaide Duran, Umut Aydar•ARTICLE•Journal of Cultural Heritage•2012•Cited by: 1

  • Digital modeling of world's first known length reference unit

    Open Access•Zaide Duran, Umut Aydar•ARTICLE•Journal of Cultural Heritage•2012•Cited by: 1

  • Semantic Segmentation of High-Resolution Airborne Images with Dual-Stream DeepLabV3

    Open Access•Ozgun Akcay, Ahmet Cumhur Kinaci et al.•ARTICLE•ISPRS International Journal of…•2021

    In geospatial applications such as urban planning and land use management, automatic detection and classification of earth objects are essential and primary subjects. When the significant semantic segmentation algorithms are considered, DeepLabV3+ stands out as a state-of-the-art CNN. Although the DeepLabV3+ model is capable of extracting multi-scale contextual information, there is still a need for multi-stream architectural approaches and diffe…

Computer Science (2 works) · 3D Surveying and Cultural Heritage (1 work) · Advanced Image Fusion Techniques (1 work) · Advanced Neural Network Applications (1 work) · Artificial Intelligence (1 work) · Computer vision (1 work) · Geography (1 work) · Geospatial analysis (1 work) · Image segmentation (1 work) · Maritime and Coastal Archaeology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae