Optical image sensing through turbid water

Duo-Min He; Gerald G. L. Seet

doi:10.1117/12.621415

12 April 2005 Optical image sensing through turbid water

Duo-Min He, Gerald G. L. Seet

Proceedings Volume 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics; (2005) https://doi.org/10.1117/12.621415
Event: Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, 2004, -, Singapore

Abstract

Optical image sensing through turbid seawater is one of the most challenging problems in underwater vision for underwater robotic vehicles (URVs). In this article, we intend to briefly review the basic of underwater optical imaging for a start. For more advanced systems, there are two major techniques: time discrimination (lidar imaging, or range-gated) and spatial discrimination (scanning method). Here, we present our underwater lidar imaging (UWLI) experimental system which give very clear revelation of "sliced-view" phenomenon in a 3m tank with very turbid water (1.0/m). And then, we suggest an underwater Lidar PanCam system, which is the combination of the two major techniques above and based on photo-mosaicing approach.

Citation Download Citation

Duo-Min He and Gerald G. L. Seet "Optical image sensing through turbid water", Proc. SPIE 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, (12 April 2005); https://doi.org/10.1117/12.621415

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