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@ARTICLE{Tian:1050633,
      author       = {Tian, Jiaojiao and Panangian, Daniel and Fan, Wen and
                      Siegmann, Bastian and Yuan, Xiangtian},
      title        = {{D}eep learning based individual tree crown delineation
                      from panchromatic aerial imagery},
      journal      = {ISPRS annals},
      volume       = {X-G-2025},
      issn         = {2194-9050},
      address      = {Red Hook, NY},
      publisher    = {Curran},
      reportid     = {FZJ-2026-00385},
      pages        = {885 - 892},
      year         = {2025},
      abstract     = {Accurate delineation of individual tree crowns (ITC)
                      enables a better understanding of tree-level growth dynamics
                      and evaluating tree vitality. In recent year, researches
                      have introduced deep learning techniques in this field.
                      However, the precise segmentation relies on high quality
                      annotated dataset and test images with limited domain gaps
                      between the training data. Under the framework of the
                      Helmholtz project, panchromatic airborne images are captured
                      over a mixed European forest. In this research, we adopt a
                      UAV benchmark dataset as training data. To close the domain
                      gaps, a deep learning based colorization step is added, for
                      which two deep learning frameworks are compared to achieve
                      an improved ITC delineation result in a dense forest area.},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.5194/isprs-annals-X-G-2025-885-2025},
      url          = {https://juser.fz-juelich.de/record/1050633},
}