NRL Analysis of Hyperspectral and Multisensor Imaging Data
The Navy researches algorithms to analyze hyperspectral and multisensor imaging data for terrain categorization, anomaly detection, and other applications.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (Application Deadline)
Funding Amounts: $99,200 stipend plus $3,000 travel allowance; relocation assistance and health insurance available. Typical award duration 2-3 years.
Summary: Postdoctoral fellowship supporting research on algorithms for analysis of hyperspectral and multisensor imaging data at the Naval Research Laboratory.
Key Information: Open to U.S. citizens and permanent residents; applicants must have a doctoral degree and be within 5 years of earning it; requires contacting a Research Adviser prior to applying.
Description
This fellowship opportunity is offered by the Naval Research Laboratory (NRL) through the NRC Research Associateship Programs. It supports postdoctoral research focused on the analysis of hyperspectral and multisensor imaging data, which includes very large datasets from hyperspectral imagers supplemented by data from other sensors such as synthetic aperture radar (SAR), lidars, and thermal imagers.
The research aims to develop and improve physics-based and statistical algorithms to extract meaningful information from these complex datasets. Applications include determining chlorophyll content in deep water, terrain categorization, and anomaly detection. Examples of algorithmic approaches include principal components analysis, projection pursuit, manifold coordinate analysis, and modular toolsets like PURSUIT and ORASIS.
The program encourages development of new analysis tools that either rely on physics-based modeling or enhance understanding of the data structure in high-dimensional spaces, such as the Manifold Coordinate Analysis Workshop (MCAW).
Key Research Areas
- Hyperspectral Imaging (HSI)
- Multisensor Imaging (MSI)
- Remote Sensing
- Applied Mathematics
- Statistical Pattern Recognition
- Physics-based Modeling
