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Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification

Erik Ringaby, Ola Friman, Per-Erik Forssén, Thomas Opsahl, Trym Vegard Haavardsholm, Ingebjørg Kåsen
IEEE Transactions in Image Processing
Volume 23, Number 5, Pages 2302-2314
May 2014

Abstract

This article deals with fast and accurate visualization of pushbroom image data from airborne and spaceborne platforms. A pushbroom sensor acquires images in a line-scanning fashion, and this results in scattered input data that needs to be resampled onto a uniform grid for geometrically correct visualization. To this end, we model the anisotropic spatial dependence structure caused by the acquisition process. Several methods for scattered data interpolation are then adapted to handle the induced anisotropic metric and compared for the pushbroom image rectification problem. A trick that exploits the semi-ordered line structure of pushbroom data to improve the computational complexity several orders of magnitude is also presented.

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Bibtex entry

@Article{ringaby14c,
  author = 	 {Erik Ringaby and Ola Friman and Per-Erik Forss\'en and Thomas Opsahl and Trym Vegard Haavardsholm and Ingebj{\o}rg K{\aa}sen},
  title = 	 {Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification},
  journal = 	 {{IEEE} Transactions in Image Processing},
  year = 	 {2014},
  volume = 	 {23},
  number = 	 {5},
  pages = 	 {2302-2314},
  month = 	 {May},
  note = 	 {On-line April 10, 2014},
  annote = 	 {http://dx.doi.org/10.1109/TIP.2014.2316377}
}

Per-Erik Forssén
 

Per-Erik Forssén

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Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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Senast uppdaterad: 2023-09-06