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Electrical and Computer Engineering Commons

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Electrical and Computer Engineering Faculty Publications

LADAR

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Full-Text Articles in Electrical and Computer Engineering

Active And Attentive Ladar Scanning For Automatic Target Recognition, M. Mamanakis, R.R. Fullmer, R.T. Pack, Scott E. Budge Mar 2008

Active And Attentive Ladar Scanning For Automatic Target Recognition, M. Mamanakis, R.R. Fullmer, R.T. Pack, Scott E. Budge

Electrical and Computer Engineering Faculty Publications

In this work we examine the dynamic implications of active and attentive scanning for LADAR based automatic target/object recognition and show that a dynamically constrained, scanner based, ATR system's ability to identify objects in real-time is improved through attentive scanning. By actively and attentively scanning only salient regions of an image at the density required for recognition, the amount of time it takes to find a target object in a random scene is reduced. A LADAR scanner's attention is guided by identifying areas-of-interest using a visual saliency algorithm on electro-optical images of a scene to be scanned. Identified areas-of-interest are …


A Validation Procedure For A Ladar System Radiometric Simulation Model, B.C. Leishman, Scott E. Budge, R.T. Pack May 2007

A Validation Procedure For A Ladar System Radiometric Simulation Model, B.C. Leishman, Scott E. Budge, R.T. Pack

Electrical and Computer Engineering Faculty Publications

The USU LadarSIM software package is a ladar system engineering tool that has recently been enhanced to include the modeling of the radiometry of Ladar beam footprints. This paper will discuss our validation of the radiometric model and present a practical approach to future validation work. In order to validate complicated and interrelated factors affecting radiometry, a systematic approach had to be developed. Data for known parameters were first gathered then unknown parameters of the system were determined from simulation test scenarios. This was done in a way to isolate as many unknown variables as possible, then build on the …