Automatic extraction of power lines from aerial images of unmanned aerial vehicles

HIGHLIGHTS

  • who: Jiang Song and collaborators from the Chinese Academy of Surveying and Mapping, Beijing, China School of Geomatics, Liaoning Technical University, Fuxin, China have published the Article: Automatic Extraction of Power Lines from Aerial Images of Unmanned Aerial Vehicles, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
  • what: In this paper a new power line extraction method is proposed which has two innovative points. The authors input the 60 images in the test dataset with a block size of 960 × 540 into Mask RCNN, and Mask RCNN combined with the connected . . .

     

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