Computational LADAR imaging

Arthita Ghosh, Michael A. Powers, Vishal M. Patel

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Most LADAR (laser radar, LIDAR) imaging systems use pixel-basis sampling, where each azimuth and elevation resolution element is uniquely sampled and recorded. We demonstrate and examine alternative sampling and post-detection processing schemes where recorded measurements are made in alternative bases that are intended to reduce system power consumption and laser emissions. A prototype of such a sensor having the capability to generate arbitrary illumination beam patterns rather than spot, line scanning, or flash techniques is described along with computational imaging algorithms to reduce speckle and identify scene objects in a low-dimensional compressed basis rather than in the pixel basis. Such techniques yield considerable energy savings and prove valuable when used on platforms with severe limitations on sensor size, weight, and power, and in particular as part of autonomous systems where image output for human interpretation is unnecessary.

Original languageEnglish (US)
Pages (from-to)B191-B197
JournalApplied Optics
Volume56
Issue number3
DOIs
StatePublished - Jan 20 2017

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Computational LADAR imaging'. Together they form a unique fingerprint.

Cite this