Target detection using infrared spectral sensors

Craig R. Schwartz; Jack N. Cederquist; Michael T. Eismann

doi:10.1117/12.258065

13 November 1996 Target detection using infrared spectral sensors

Craig R. Schwartz, Jack N. Cederquist, Michael T. Eismann

Proceedings Volume 2819, Imaging Spectrometry II; (1996) https://doi.org/10.1117/12.258065
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Infrared spectral sensors are being investigated as a means for day and night target detection. Target detection performance was estimated using the multiband signal-to- clutter (SCR). The average SCR for a variety of targets and back-grounds can be calculated from Fourier transform spectrometer measurements previously made at vegetated and desert locations. The variation in average SCR was examined as a function of number of spectral bands, locations of bands, and potential sensor noise level for a variety of air-to-ground target detection geometries. The results are useful for assessing the utility and feasibility of infrared spectral target detection and also for specifying future sensor parameters.

Citation Download Citation

Craig R. Schwartz, Jack N. Cederquist, and Michael T. Eismann "Target detection using infrared spectral sensors", Proc. SPIE 2819, Imaging Spectrometry II, (13 November 1996); https://doi.org/10.1117/12.258065

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