Publisher
SPIECitation
Follansbee, J., Wiley, L., Leslie, P., Revello, C., & Driggers, R. (2022). Drone detection in the reflective bands: Vis, NIR, SWIR, eSWIR. Proceedings of SPIE - The International Society for Optical Engineering, 12106.Rights
Copyright © 2022 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Target detection and identification are well-studied problems in the visible (VIS) and near infrared (NIR) bands, with recent work focusing on the short wave IR (SWIR) band. The extended SWIR (eSWIR) band (2 to 2.5 μm) offers an advantage over SWIR due to increased atmospheric transmission, while keeping greater angular resolution than the midwave and longwave IR. eSWIR should additionally improve object-sky contrast due to lower background sky path radiance than the SWIR. An analysis of drone signal-To-noise ratio (SNR) and contrast in the reflective bands is presented and compared to an NVIPM model of drone detection performance using equivalent reflectivities. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.Note
Immediate accessISSN
0277-786XISBN
9781510650886Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1117/12.2618721