Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 3 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
The research topic is multimodal scene reconstruction combining 3D digital surface model (DSM) generated from satellite data with 2D imagery from UAVs. Single modality satellite generated DSM suffers from incomplete data representation, especially on vertical surfaces, but have well-defined sensor models that enable accurate reconstruction of visible surfaces. Unmanned aerial vehicles (UAVs) can capture higher resolution images in terms of ground sample distance but have no or ill-defined sensor models.
Example Approaches:
We seek to develop methods that perform joint 3D reconstruction leveraging both satellite imagery and UAV imagery. Proposed method will leverage traditional photogrammetric methods in conjunction with the latest advances in artificial intelligence and machine learning and use the satellite sensor model along with available UAV metadata (GPS coordinates, altitude, gimbal point angle) to perform joint 3D reconstruction.
Relevance to the Intelligence Community:
Such a method will benefit the Intelligence Community (IC) and DOD by providing complete 3D scene representations, enabling high resolution object details to be captured in a faithful 3D representation. Such products can be used for mission planning and other IC/DOD applications.
Key Words: Unmanned Aerial Vehicles (UAV); Digital Surface Model (DSM); photogrammetry; computer vision; machine learning
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