Onboard CubeSat data processing for hyperspectral detection of chemical plumes

James Theiler; Bernard R. Foy; Claira Safi; Steven P. Love

doi:10.1117/12.2305278

8 May 2018 Onboard CubeSat data processing for hyperspectral detection of chemical plumes

James Theiler, Bernard R. Foy, Claira Safi, Steven P. Love

Proceedings Volume 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV; 1064405 (2018) https://doi.org/10.1117/12.2305278
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

We describe the development and implementation of plume detection algorithms under severe bandwidth and processing constraints imposed by a CubeSat architecture. In particular, two ideas will be presented: one employs onboard processing to reduce the data that is downlinked, and one employs the Sparse Matrix Transform (SMT) to speed up the onboard computation of an approximate Mahalanobis distance.

Conference Presentation

Citation Download Citation

James Theiler, Bernard R. Foy, Claira Safi, and Steven P. Love "Onboard CubeSat data processing for hyperspectral detection of chemical plumes", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 1064405 (8 May 2018); https://doi.org/10.1117/12.2305278

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