Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 14,
  • Issue 12,
  • pp. 122801-
  • (2016)

Short-wave infrared signature and detection of aicraft in flight based on space-borne hyperspectral imagery

Not Accessible

Your library or personal account may give you access

Abstract

Infrared signatures of aircraft are the basis for detection and monitoring. In past years, most of the studies focused on the aircraft’s infrared signature in the mid-wave spectral region and long-wave spectral region for missile guidance or aircraft survivability studies. For the security of civil aviation, methods and instruments that can detect and monitor aircrafts from space are expected to be developed in the coming years. A short-wave infrared hyperspectral imager aboard the Tiangong-1 spacecraft acquired some civil aircraft’s spectral data. The differences between the aircraft and the background in their spectral signatures are analyzed and discussed. Less absorption in the vapor absorption bands and a reflection spike is discovered at the 1.84 μm spectral band. The result shows that 1.84 μm and other vapor absorption bands can make contributions to aircraft detection in the daytime.

© 2016 Chinese Laser Press

PDF Article
More Like This
Scene-based method for spatial misregistration detection in hyperspectral imagery

Francesco Dell'Endice, Jens Nieke, Daniel Schläpfer, and Klaus I. Itten
Appl. Opt. 46(15) 2803-2816 (2007)

Decision Boundaries in Two Dimensions for Target Detection in Hyperspectral Imagery

Bernard R. Foy, James Theiler, and Andrew M. Fraser
Opt. Express 17(20) 17391-17411 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.