Large aerial image tie point matching in real and difficult survey areas via deep learning method

HIGHLIGHTS

• who: Xiuliu Yuan et al. from the School of Sensing and Information Engineering, Wuhan University, Wuhan, China have published the research: Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep Learning Method, in the Journal: (JOURNAL)
• what: The authors evaluate the proposed method on a real surveying area with the measurement of the model tie point number and relative orientation compared with Block-SIFT (similar to L2-SIFT ). The experiments show that LR-SuperGlue could obtain much more model tie points and construct airline networks in mountainous area images, but . . .
  

   

  

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