Share Email Print

Proceedings Paper

Interpolation of non-uniformly sampled handheld radar data for visualization and algorithm development
Author(s): Drew B. Gonsalves; Peter J. Dobbins; Joseph N. Wilson
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Ground penetrating radar (GPR) is used in explosive hazard clearance. Handheld sensors are utilized by operators during search and localization sweeps. These two styles of ground interrogation follow a standard operating procedure (SOP) that attempts to maximize both ground coverage and rate of advance (ROA). As a result, the data collected is non-uniformly sampled, with areas of missing data. We analyze a number of data interpolation methods in order to develop discrimination algorithms and human visualizations. We analyze the performance of interpolative methods for sweep patterns in the parallel and perpendicular direction by using Mean Squared Error (MSE), Mean Absolute Error (MAE), and Structural Similarity Index (SSIM). Overall, a nearest neighbors (2-NN) method performs best.

Paper Details

Date Published: 30 April 2018
PDF: 14 pages
Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 106280W (30 April 2018); doi: 10.1117/12.2304855
Show Author Affiliations
Drew B. Gonsalves, Univ. of Florida (United States)
Peter J. Dobbins, Univ. of Florida (United States)
Joseph N. Wilson, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 10628:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII
Steven S. Bishop; Jason C. Isaacs, Editor(s)

© SPIE. Terms of Use
Back to Top