The effects of different shape-based metrics on the identification of military targets from 3D ladar data

Gregory J. Meyer; James R. Weber

doi:10.1117/12.641253

26 January 2006 The effects of different shape-based metrics on the identification of military targets from 3D ladar data

Gregory J. Meyer, James R. Weber

Author Affiliations +

Proceedings Volume 6056, Three-Dimensional Image Capture and Applications VII; 60560H (2006) https://doi.org/10.1117/12.641253
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

The choice of shape metrics is important to effectively identify three-dimensional targets. The performance (expressed as a probability of correct classification) of four metrics using point clouds of military targets rendered using Irma, a government tool that simulates the output of an active ladar system, is compared across multiple ranges, sampling densities, target types, and noise levels. After understanding the range of operating conditions a classifier would be expected to see in the field, a process for determining the upper-bound of a classifier and the significance of this result is assessed. Finally, the effect of sampling density and variance in the position estimates on classification performance is shown. Classification performance significantly decreases when sampling density exceeds 10 degrees and the voxelized histogram metric outperforms the other three metrics used in this paper because of its performance in high-noise environments. Most importantly, this paper highlights a step-by-step method to test and evaluate shape metrics using accurate target models.

Citation Download Citation

Gregory J. Meyer and James R. Weber "The effects of different shape-based metrics on the identification of military targets from 3D ladar data", Proc. SPIE 6056, Three-Dimensional Image Capture and Applications VII, 60560H (26 January 2006); https://doi.org/10.1117/12.641253

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available