A neural network for enhancing boundaries and surfaces in synthetic aperture radar images

@article{Mingolla1999ANN,
  title={A neural network for enhancing boundaries and surfaces in synthetic aperture radar images},
  author={Ennio Mingolla and William D. Ross and Stephen Grossberg},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1999},
  volume={12 3},
  pages={499-511}
}
A neural network system for boundary segmentation and surface representation, inspired by a new local-circuit model of visual processing in the cerebral cortex, is used to enhance images of range data gathered by a synthetic aperture radar (SAR) sensor. Boundary segmentation is accomplished by an improved Boundary Contour System (BCS) model which completes coherent boundaries that retain their sensitivity to image contrasts and locations. A Feature Contour System (FCS) model compensates for… CONTINUE READING
46 Citations
27 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 46 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Focal-plane analog VLSI implementation of the BCS image segmentation algorithm

  • J. Waskiewicz, G. Cauwenberghs, D. Yochelson
  • Proceedings of the 31st annual conference on…
  • 1997
1 Excerpt

Similar Papers

Loading similar papers…