Phan D. Dao
Air Force Research Laboratory
34 Papers
125 Citations
Phan D. Dao is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Lidar & Satellite. The author has an hindex of 8, co-authored 34 publications.
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Papers
Algorithms for Automated Characterization of Three-Axis Stabilized GEOs using Non-Resolved Optical Observations
Jeremy Murray-Krezan,Willa C Inbody,Phan D. Dao,Anthony Dentamaro,Daniel O Fulcoly,Stephen A. Gregory +5 more
- 01 Sep 2012
TL;DR: In this paper, the authors present algorithms that automate the process of rapidly characterizing satellites from non-resolved optical data of 3-axis stabilized geostationary satellites, and present background information on corrections for lighting conditions that vary as a function of the Earth s season, and permit automated satellite characterization algorithms.
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Superresolution multispectral imaging polarimetric space surveillance LADAR sensor design architectures
George C. Giakos,Richard H. Picard,Phan D. Dao +2 more
- 02 Oct 2008
TL;DR: The experimental results of this study indicate that the signal-to-noise ratio of backscattered optical signals can be enhanced significantly, by utilizing efficient single-pixel polarimetric techniques; as a result the ladar range accuracy would be improved significantly.
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Fingerprinting of Non-resolved Three-axis Stabilized Space Objects Using a Two-Facet Analytical Model
Anil Chaudhary,Tamara Payne,Steve Gregory,Phan D. Dao +3 more
- 01 Sep 2011
TL;DR: This approach to resident space object (RSO) fingerprinting is motivated by the established framework of biometric fingerprinting which comprises a basic differentiator, followed by three levels of matching, which allows inference on the mechanical stability and basic information about the attitude of the RSO.
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Polarimetric wavelet phenomenology of space materials
George C. Giakos,Richard H. Picard,Phan D. Dao,Peter N. Crabtree,Patrick J. McNicholl +4 more
- 17 May 2011
TL;DR: In this article, the authors describe new polarimetric wavelet detection principles applied to the backscattering characteristics of space materials in the near infrared, which can support remote characterization of space material and structures with enhanced discrimination, localization, and high-dynamic range while maintaining uncompromised sensitivity.
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Polarimetric wavelet fractal remote sensing principles for space materials
George C. Giakos,Richard H. Picard,Phan D. Dao,Peter N. Crabtree,Patrick J. McNicholl,Jeff Petermann,Suman Shrestha,Chaya Narayan,S. Marotta +8 more
TL;DR: The outcome of this study indicates that polarimetric fractal wavelet principles may enhance the capabilities of the ladar to provide characterization and discrimination of unresolved space objects.
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