Special Section on Imaging Spectrometry

Performance limitations of temperature–emissivity separation techniques in long-wave infrared hyperspectral imaging applications

[+] Author Affiliations
Michael Pieper

Northeastern University, Electrical Engineering, Boston, Massachusetts, United States

Dimitris Manolakis, Eric Truslow

MIT Lincoln Laboratory, Lexington, Massachusetts, United States

Thomas Cooley

Kirtland Air Force Base, Space Vehicles Directorate Air Force Research Laboratory, Albuquerque, New Mexico, United States

Michael Brueggeman, John Jacobson, Andrew Weisner

Wright-Patterson Air Force Base, National Air and Space Intelligence Center, Ohio, United States

Opt. Eng. 56(8), 081804 (May 29, 2017). doi:10.1117/1.OE.56.8.081804
History: Received December 1, 2016; Accepted April 27, 2017
Text Size: A A A

Abstract.  Accurate estimation or retrieval of surface emissivity from long-wave infrared or thermal infrared (TIR) hyperspectral imaging data acquired by airborne or spaceborne sensors is necessary for many scientific and defense applications. This process consists of two interwoven steps: atmospheric compensation and temperature–emissivity separation (TES). The most widely used TES algorithms for hyperspectral imaging data assume that the emissivity spectra for solids are smooth compared to the atmospheric transmission function. We develop a model to explain and evaluate the performance of TES algorithms using a smoothing approach. Based on this model, we identify three sources of error: the smoothing error of the emissivity spectrum, the emissivity error from using the incorrect temperature, and the errors caused by sensor noise. For each TES smoothing technique, we analyze the bias and variability of the temperature errors, which translate to emissivity errors. The performance model explains how the errors interact to generate temperature errors. Since we assume exact knowledge of the atmosphere, the presented results provide an upper bound on the performance of TES algorithms based on the smoothness assumption.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Michael Pieper ; Dimitris Manolakis ; Eric Truslow ; Thomas Cooley ; Michael Brueggeman, et al.
"Performance limitations of temperature–emissivity separation techniques in long-wave infrared hyperspectral imaging applications", Opt. Eng. 56(8), 081804 (May 29, 2017). ; http://dx.doi.org/10.1117/1.OE.56.8.081804


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.