Dipl.-Ing. M.Sc. Gianluca Giaquinto | |||
Go to: | Topics | CV | Publications |
Phone: | +49 (30) 67055 7963 | |
Fax: | +49 (30) 67055 385 | |
E-mail: | giaquing at informatik.hu-berlin.de | |
Address: | Dipl.-Ing. M.Sc. Gianluca Giaquinto Deutsches Zentrum für Luft- und Raumfahrt e. V. Rutherfordsraße 2 12489 Berlin Germany |
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Secretary's office: |
Sabine Dziwisz +49 (30) 2093 3044 |
- Alumnus
Topics
- Evaluation of Image Quality parameters
- Object detection and change detection, fire detection
- Image quality measurement through NIIRS parameter
- Fusion of optical and radar systems
- Fractal measures
- Information theory in image analysis
Project Involvement
PhD Student at German Aerospace Center | |
Researcher at German Aerospace Center | |
Internship on Remote Sensing at German Aerospace Center | |
Master Degree in Telecommunications Engineering | |
Two exchange terms (Erasmus) at the Technical University in Berlin, Germany | |
Master Degree in Telecommunications Engineering at Università degli Studi di Napoli Federico II |
2013
Comparison of Image Quality in Optical Radar Fused Image Sets , In 33. Wissenschaftlich-Technische Jahrestagung der DGPF, Eckhardt Seyfert, volume 22/2013, pages 79-88, 2013. bibtex-link
Optics and Radar Image Fusion , In Seventh International Conference on Sensing Technology, IEEE, pages 690-696, 2013. bibtex-link
2012
Image quality and image resolution , 2012. bibtex-link
Radar Image Quality - Comparison of the Information Content of Radar & Optical Images , In Optik-SAR-Datenfusions-Meeting, Oberpfaffenhofen, 18th August, 2012. bibtex-link
Image Quality and Image Resolution , In The XXII Int. Congress of the Int. Society for Photogramm. Remote Sens. Spatial Inf. Sci., 2012. bibtex-link
2011
LIDAR, SAR and Optical Sensors for Airborne and Spaceborne Platforms , In Image Quality and Image Resolution, XXII ISPRS Congress, 27. August 2012, Com. I/2, 2011. bibtex-link
Radar Optical Fusion: Image quality and interpretability , Master’s Thesis, 2011. (Master’s Thesis) bibtex-link
2006
A fractal approach to classification methods of Landsat imagery , Bachelor Thesis, 2006. (Bachelor Thesis) bibtex-link
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