Textures and Time-Series: in silico as a proxy for in situ
Abstract
The program as a whole will consist of a variety of components building upon our previous work. The overarching theme will be studies pertaining to understanding and subsequently generating seabed textures and acoustic time series, with the specific impetus of using in silico (simulated) as a proxy for in situ (collected) data. It is expected that two main topics have hamstrung the underwater sonar community, background heterogeneity and simulated data fidelity, will continue to be cornerstones for the work pursued here. Under these two principal areas, it is expected that inspiration will be drawn from best practices from, and that collaborations will occur with researchers in, the fields of computer generated imagery (CGI), seabed characterization and modeling, target modeling, machine learning, and others. An additional program of study will be to continue participation with several ongoing change detection projects, namely the NIPO CUMID and NATO MIAMS JRP work. This involvement will consist of both scientific research as well as the generation of additional in silico datasets for participants of these projects by applying techniques developed under previous efforts and the resulting from the aforementioned studies.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 20, 2020
- Source ID
- N000142012581
Entities
People
- Shawn F. Johnson
Organizations
- Office of Naval Research
- Pennsylvania State University
- United States Navy