Four Dimensional Maritime Sensing and Imaging Systems with Photon Information Optimization
Abstract
ABSTRACTWe propose to investigate a novel four-dimensional (4D) sensing approach based on 3D photoncounting time varying integral sensing and imaging architecture with randomly distributedsensors. This novel approach can function with a small number of photons" and poor SNR andresults in a substantial increase in channel capacity for detection of underwater signals, objects,and sources. I""n addition, for a known transmitted signal and/or spatial 3D structure within thefield of view of the sensor system, the captured s"ignals and/or images can provide insight aboutthe nature of turbulence. We will demonstrate that there are substantial benefits in" using fourdimensionalsensing for visualization, seeing through occlusion, obscuration, turbidity, and realtimeunderwater object i"dentification and tracking. Our sensing method combines time domaindata for the case of time varying underwater signals with multi-"view 3D integral sensing torecord parallax and to extract range and 3D profile information of sources, targets, and scenes.Unlike"" LADAR, which uses active illumination to measure time of flight, our proposed sensingapproach uses randomly distributed sensors to" measure both the direction (angular) and intensityinformation of arriving photons plus time domain fluctuations. The proposed 4D r"eceiver candetermine the range, angular direction, and overall 3D coordinates of a modulated transmittingpoint source for signal d""etection, and/or the 3D scene profile of underwater objects. Photoncounting detection reduces data by orders of magnitude through q""uantum-imaging means.Fundamental questions such as, how many photons are required for recording and reconstructingthe underwater o""bject or modulated source (see Fig. 1) and, what are the sensor requirements interms of pixel parameters such as pixel size, pitch,"" and number of pixels and sensors, spectralrange, and randomly distributed sensor parallax geometry will be addressed for reliable""performance-driven sensing. Constrained resource optimization will be used to determine lateralresolution, longitudinal resolution,"" and field of view of the modulated transmitting point sourceand/or 3D reconstructed objects."" - -
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712405
Entities
People
- Bahram Javidi
Organizations
- Office of Naval Research
- United States Navy
- University of Connecticut