Potential for the application of airborne hyperspectral remote-sensing techniques to industrial inspection

Stephen K. Babey; Clifford D. Anger

doi:10.1117/12.230390

19 January 1996 Potential for the application of airborne hyperspectral remote sensing techniques to industrial inspection

Stephen K. Babey, Clifford D. Anger

Author Affiliations +

Proceedings Volume 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology; (1996) https://doi.org/10.1117/12.230390
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

Airborne optical remote sensing has recently seen an evolution from limited spectral discrimination into high spectral resolution imagery. Hyperspectral imagers now have the ability to sample a scene at both high spatial and high spectral resolution, permitting optimal selection from the available information to meet specific applications. Techniques have been developed which provide for high speed acquisition, radiometric calibration, conversion to spectral reflectances, geometric correction and interpretation of airborne hyperspectral data. The same technology currently in use for discrimination of subtle features in airborne scenes is available for industrial inspection applications which can benefit from combined spectral reflectance and imaging information.

Citation Download Citation

Stephen K. Babey and Clifford D. Anger "Potential for the application of airborne hyperspectral remote sensing techniques to industrial inspection", Proc. SPIE 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, (19 January 1996); https://doi.org/10.1117/12.230390

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