Model-based sensor fusion for minefield detection

Bernhard Bargel; Karl-Heinz Bers; Gisela Stein; Gerhard A. Traeger

doi:10.1117/12.211347

20 June 1995 Model-based sensor fusion for minefield detection

Bernhard Bargel, Karl-Heinz Bers, Gisela Stein, Gerhard A. Traeger

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211347
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Minefields have become an increasing threat in modern warfare due to new developments in electronic and explosive technologies. Therefore the planning and realization of troop movements need a far-reaching, fast running detection of minefields and a determination of their precise extension and location. For this task, an airborne reconnaissance system (AAMIS) will be realized by German industry. The technical concept of AAMIS comprises the multisensorial equipment, the carrier, the data transmission, the ground station, and the data processing. Within the scope of AAMIS, the problem of higher, sophisticated data processing will be addressed by FIM. Based on the long experience in image processing, our task hereby is focusing on the following main topics: (1) detection of individual (buried or unburied) mines as cues to minefields using iconic data processing, model-based data analysis, and sensor fusion; (2) determination of minefields and their outlines by methods of structure analysis and grouping based on the detected individual mines; and (3) extraction of background structures and environmental objects to support the detection of individual mines and the determination of minefields.

Citation Download Citation

Bernhard Bargel, Karl-Heinz Bers, Gisela Stein, and Gerhard A. Traeger "Model-based sensor fusion for minefield detection", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211347

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