Where Data Meets Computer Science
Header

Runway

Runways are vital descriptive features of airports and knowledge of their location is important to many aviation and military applications. With the recent wide availability of remote sensing data, there is demand for an automatic process of extracting runway geometry from satellite imagery. In particular, Very High Resolution (VHR) data makes it feasible to extract a runway’s area precisely. In this project we establish a novel method for accurate and precise extraction of geometric polygons for an arbitrary number of runways in VHR remote sensing imagery.

airport_map

Change detection in remote sensing imagery.

 

Collaborators:

  • Jeppesen, The Boeing Group

Publications:

  • [2015,inproceedings] bibtex
    P. T. G. Jackson, C. J. Nelson, J. Schiefeley, and B. Obara, "Runway detection in high resolution remote sensing data," in International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia, 2015, pp. 170-175.
    @inproceedings{Jackson2015,
      author = {Philip T.G. Jackson and Carl J. Nelson and Jens Schiefeley and Boguslaw Obara},
      title = {Runway detection in high resolution remote sensing data},
      booktitle = {International Symposium on Image and Signal Processing and Analysis},
      address = {Zagreb, Croatia},
      month = {7-9 September},
      pages = {170-175},
      year = {2015}
    }