Hyperspectral analysis and target detection system for the Adaptive Spectral Reconnaissance Program (ASRP)

John M. Grossmann; Jeffrey H. Bowles; Daniel Haas; John A. Antoniades; Mitchell R. Grunes; Peter J. Palmadesso; David Gillis; Kwok Yeung Tsang; Mark M. Baumback; Mark Daniel; John Fisher; Ioana A. Triandaf

doi:10.1117/12.312591

2 July 1998 Hyperspectral analysis and target detection system for the Adaptive Spectral Reconnaissance Program (ASRP)

John M. Grossmann, Jeffrey H. Bowles, Daniel Haas, John A. Antoniades, Mitchell R. Grunes, Peter J. Palmadesso, David Gillis, Kwok Yeung Tsang, Mark M. Baumback, Mark Daniel, John Fisher, Ioana A. Triandaf

Author Affiliations +

Proceedings Volume 3372, Algorithms for Multispectral and Hyperspectral Imagery IV; (1998) https://doi.org/10.1117/12.312591
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

A multiprocessor version of the ORASIS hyperspectral analysis program has been implemented in support of the ASRP. In brief, the long-term technical objectives of the ASRP are to demonstrate the feasibility and military utility of real-time target detection from uncrewed air vehicles using hyperspectral data. This paper presents a preliminary assessment of ORASIS performance and describes the ORASIS development effort designed to meet the ASRP goals. Real-time performance of the analysis program and its potential effectiveness as a target detection method are demonstrated.

Citation Download Citation

John M. Grossmann, Jeffrey H. Bowles, Daniel Haas, John A. Antoniades, Mitchell R. Grunes, Peter J. Palmadesso, David Gillis, Kwok Yeung Tsang, Mark M. Baumback, Mark Daniel, John Fisher, and Ioana A. Triandaf "Hyperspectral analysis and target detection system for the Adaptive Spectral Reconnaissance Program (ASRP)", Proc. SPIE 3372, Algorithms for Multispectral and Hyperspectral Imagery IV, (2 July 1998); https://doi.org/10.1117/12.312591

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