The optimum correction of defective pixel elements in dispersive hyperspectral imaging systems

Joanne M. Nothard; Nicola M. Kent; Alan E. Pratt

doi:10.1117/12.487042

23 September 2003 The optimum correction of defective pixel elements in dispersive hyperspectral imaging systems

Joanne M. Nothard, Nicola M. Kent, Alan E. Pratt

Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.487042
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Several of the sensor technologies employed for producing hyperspectral images make use of dispersion across an array to generate the spectral content along a 'line' in the scene and then use scanning to build up the other spatial dimension of the image. Infrared staring arrays rarely achieve 100% fully functioning pixels. In single-band imaging applications 'dead' elements do not cause a problem because simple spatial averaging of neighboring pixels is possible (assuming that a pixel is similar in intensity to its neighbors is a reasonably good approximation). However, when the array is used as described above to produce a spectral image, dead elements result in missing spatial and spectral information. This paper investigates the use of several novel techniques to replace this missing information and assesses them against image data of different spatial and spectral resolutions with the aim of recommending the best technique to use based on the sensor specification. These techniques are also benchmarked against naive spatial averaging.

Citation Download Citation

Joanne M. Nothard, Nicola M. Kent, and Alan E. Pratt "The optimum correction of defective pixel elements in dispersive hyperspectral imaging systems", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); https://doi.org/10.1117/12.487042

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