Performance of super-resolution enhancement for LADAR camera data

  • Authors:

  • Shuowen Hu;S. Susan Young;Tsai Hong

  • Affiliations:

  • Army Research Laboratory, Adelphi, MD;Army Research Laboratory, Adelphi, MD;NIST, Gaithersburg, MD

  • Venue:
  • PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Laser detection and ranging (LADAR) camera systems are increasingly used in robotics applications for autonomous navigation and obstacle avoidance. Their compact size, high frame rate, wide field-of-view, and low cost are key advantages over traditional scanning LADAR devices. However, these benefits are achieved at the cost of spatial resolution. Therefore super-resolution image reconstruction technology can be applied to improve the resolution of LADAR camera data. Previous work by Rosenbush et al. applied the super-resolution algorithm of Vandewalle et al. to LADAR camera data, and observed quantitative improvement in image quality in terms of number of edges detected. This study uses the super-resolution algorithm of Young et al. to enhance the resolution of range data acquired from a commercial available LADAR camera. This work applies a preprocessing stage that increases the accuracy of sub-pixel shift estimation for improved registration of multiple LADAR camera frames and uses the triangle orientation discrimination methodology for a subjective evaluation. The objective is to measure the improvement in probabilities of target discrimination at various ranges achieved by super-resolution enhancement of LADAR camera data.