Detecting submerged features in water: modeling, sensors, and measurements

Charles R. Bostater Jr.; Luce Bassetti

doi:10.1117/12.593681

16 November 2004 Detecting submerged features in water: modeling, sensors, and measurements

Proceedings Volume 5569, Remote Sensing of the Ocean and Sea Ice 2004; (2004) https://doi.org/10.1117/12.593681
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

Abstract

It is becoming more important to understand the remote sensing systems and associated autonomous or semi-autonomous methodologies (robotic & mechatronics) that may be utilized in freshwater and marine aquatic environments. This need comes from several issues related not only to advances in our scientific understanding and technological capabilities, but also from the desire to insure that the risk associated with UXO (unexploded ordnance), related submerged mines, as well as submerged targets (such as submerged aquatic vegetation) and debris left from previous human activities are remotely sensed and identified followed by reduced risks through detection and removal. This paper will describe (a) remote sensing systems, (b) platforms (fixed and mobile, as well as to demonstrate (c) the value of thinking in terms of scalability as well as modularity in the design and application of new systems now being constructed within our laboratory and other laboratories, as well as future systems. New remote sensing systems - moving or fixed sensing systems, as well as autonomous or semi-autonomous robotic and mechatronic systems will be essential to secure domestic preparedness for humanitarian reasons. These remote sensing systems hold tremendous value, if thoughtfully designed for other applications which include environmental monitoring in ambient environments.

Citation Download Citation

Charles R. Bostater Jr. and Luce Bassetti "Detecting submerged features in water: modeling, sensors, and measurements", Proc. SPIE 5569, Remote Sensing of the Ocean and Sea Ice 2004, (16 November 2004); https://doi.org/10.1117/12.593681

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