International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 349–356, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-349-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 349–356, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-349-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

FPGA-BASED ON-BOARD CUBIC CONVOLUTION INTERPOLATION FOR SPACEBORNE GEOREFERENCING

D. Q. Liu1,2, G. Q. Zhou1,2,3, X. Zhou1,3, C. Y. Li2,4, and F. Wang2 D. Q. Liu et al.
  • 1School of Microelectronics, Tianjin University, Tianjin 300072 China
  • 2The Center for Remote Sensing, Tianjin University, Tianjin, 300072 China
  • 3GuangXi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin, Guangxi, 541004, China
  • 4School of Marine Science and Technology Tianjin University, Tianjin, 300072 China

Keywords: Cubic Convolution Interpolation, FPGA, Georeferencing, Remote Sensed Imagery, Real Time

Abstract. This paper proposes a novel low-complexity implementation with one parameter two dimensions cubic convolution interpolation (2D-CCI) of image interpolation for spaceborne georeferencing. The experiment results demonstrate that (1) the proposed scheme can achieve better performance without increasing the computational complexity compared to the traditional CCI; (2) the number of multiplication and addition is reduced to 33.33% and 40% respectively compared with original CCI; (3) the occupied resources of LUTs, register, DSP and memory are reduced to 23.7%, 21.9%, 18.5% and 25%, respectively; (4) the speedup time of the proposed Implementation is about 25 times higher than that when using the PC-based implementation.