• Geography, Engineering
  • Published in
    Defense, Security, and…
    1995
  • DOI:10.1117/12.210057

Maximum detection range of low-intensity target edges as a function of variable albedo and precipitation using morphological and segmentation image processing techniques

@inproceedings{Paiva1995MaximumDR,
  title={Maximum detection range of low-intensity target edges as a function of variable albedo and precipitation using morphological and segmentation image processing techniques},
  author={C. Adller S. Paiva},
  booktitle={Defense, Security, and Sensing},
  year={1995}
}
One of the primary inhibitory factors for resolution of automatic target recognition (ATR) performance problems has been the inability to quantitatively characterize low signal-to-noise (SNR) target detection and classification algorithms, especially those which are challenged by high spatial frequency backgrounds. The preceding work addressed obtaining classification statistics and geometric pattern referencing characteristics with the target mean intensity distribution commensurate with the… CONTINUE READING