Paper
20 June 1995 Underwater detection using coherent imaging techniques
Frank M. Caimi, Anthony G. Bessios, Joel H. Blatt
Author Affiliations +
Abstract
This paper describes a novel method for detection of object characteristics using coherent imaging methods. Experimental results are presented. The technique is particularly useful for identifying known or desired features of the object being illuminated and is suited for detection under adverse conditions. A system was demonstrated that generates real-time surface contours with zoom capability using a spatial modulation approach. The system is unique in that it uses video technology to generate patterns from a single variable spacing projection grating. In the demonstrated projection system, the distorted target grating is processed with a spatially matched filter. This is a binary optical filter that passes information selectively. By using a special video processor, this situation may be duplicated electronically. The output of the video processor circuit can be an image showing equal depth contours superimposed on the target or may be designed to produce different electronic signature information such as texture information. In addition, noise reduction techniques have been used to reduce or remove the regular and distorted grating features, while retaining object contours. The adaptation of this method to turbid or scattering media is an object of current research. The approach relies upon coherent signal processing techniques to recover generated patterns broadcast from the illumination device against the background.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank M. Caimi, Anthony G. Bessios, and Joel H. Blatt "Underwater detection using coherent imaging techniques", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211324
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KEYWORDS
Video

Video processing

Scattering

Cameras

Light scattering

Target recognition

Signal processing

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