New results from the ORASIS/NEMO compression algorithm

Jeffrey H. Bowles; Dean Clamons; David Gillis; Peter J. Palmadesso; John A. Antoniades; Mark M. Baumback; Mark Daniel; John M. Grossmann; Daniel Haas; Jeffrey G. Skibo

doi:10.1117/12.366284

27 October 1999 New results from the ORASIS/NEMO compression algorithm

Jeffrey H. Bowles, Dean Clamons, David Gillis, Peter J. Palmadesso, John A. Antoniades, Mark M. Baumback, Mark Daniel, John M. Grossmann, Daniel Haas, Jeffrey G. Skibo

Author Affiliations +

Proceedings Volume 3753, Imaging Spectrometry V; (1999) https://doi.org/10.1117/12.366284
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We present results from an improved ORASIS (Optical Real-time Adaptive Spectral Identification System) hyperspectral-data compression-algorithm that is being implemented on the Naval EarthMap Observer (NEMO) satellite. The algorithm is shown to produce results that are statistically improved from previous findings. To augment the statistical testing, the re-inflated data are run through analysis programs such as unsupervised classification. ORASIS compression is a series of algorithms. The first algorithm, the exemplar selector process (ESP), is a variation of Learned Vector Quantization (LVQ) that builds up a relatively small set of spectra to represent the full data set. Subsequent algorithms find approximate endmembers for the exemplar set and project the set into the space defined by the endmembers. Both the ESP and the projection process contribute to the compression of the data. The obtainable compression ratios vary with scene content and other factors but ratios between 10:1 and 30:1 are possible. The compressed data format is designed to allow direct access to individual pieces of the data without reinflation of the entire data set. Details of the hardware implementation of the Imagery On-Board Processor (IOBP) of NEMO is discussed, as well as the use of the compressed data on the ground.

Citation Download Citation

Jeffrey H. Bowles, Dean Clamons, David Gillis, Peter J. Palmadesso, John A. Antoniades, Mark M. Baumback, Mark Daniel, John M. Grossmann, Daniel Haas, and Jeffrey G. Skibo "New results from the ORASIS/NEMO compression algorithm", Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); https://doi.org/10.1117/12.366284

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