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Dr Armando Marino

Profile summary

  • Central Academic Staff
  • Lecturer (Engineering & Electronics)
  • Faculty of Science, Technology, Engineering & Mathematics
  • School of Engineering & Innovation
  • armando.marino

Professional biography

I received an MSc in Telecommunication Engineering at the Universita’ di Napoli “Federico II” in 2006. In 2006, I joined the High Frequency and Radar Systems Department (HR), German Aerospace Centre (DLR), Oberpfaffenhofen where I developed my MSc thesis, which focused on SAR multi-pass retrieval of forest parameters.

In 2011, I was awarded a PhD degree from the University of Edinburgh, (School of Geosciences), Edinburgh, UK in the field of polarimetric SAR interferometry. I regard this as a rather successful experience, since my PhD thesis was awarded “Best PhD Thesis 2011” by the RSPSoc (Remote Sensing and Photogrammetry Society) and “Outstanding PhD Thesis” by Springer Verlag, which published the thesis in 2012.

From March 2011 to October 2011, I worked at the University of Alicante, Institute of Computing Research, in Alicante, Spain. Besides enjoying the sunny weather, I earned experiences in processing stuck of radar images for change detection.

From December 2011 to May 2015, I was a post-doctorate researcher and lecturer at the ETH Zürich, Institute of Environmental Engineering, Switzerland. At ETH I was presented with a unique opportunity to assert myself as a researcher and at the same time to gain teaching skills.

Since June 2015, I am a lecturer at the Open University, Department of Engineering and Innovation, in Milton Keynes, UK. Here, I enjoy my time being involved in both teaching and research, along with having walks in the parks surrounding the campus. 

Research interests

My main research interests include:

  1.  Processing of stacks of radar images for surveillance with focus on target detection, change detection and classification;
  2.  Developing ground based radars and executing measurement campaigns;
  3.  Applying Image Processing, Computer Vision and Machine Learning methodologies to remote sensing images

 Link to Radio Frequency research group: http://www9.open.ac.uk/mct-ei/research/radio-frequency-research

Teaching interests

At the moment, I am involved in the production of the Module T212 (Electronics: Sensing, Logic and Actuation). To be more precise, I am preparing material for the block on Sensing. 

Research Activity

Externally funded projects

Agricultural Analysis to Improve Production and Reduce Risks to Agriculture

RoleStart dateEnd dateFunding source
Lead01/Dec/201630/Nov/2020UKSA UK Space Agency
Satellites can provide up to date information on crop status (e.g. health, growth stage or vigour) throughout the growing season. These data can help improve crop production and manage risk. EO4cultivar will focus on developing products and services to improve crop production and food security in South America, with special interest in Peru and Colombia. We will develop services that will provide growers with meaningful agricultural information. Data will be easily accessed on a mobile phone or tablet, supporting management activities in the field. Example products include: • Field scale crop vigour data throughout the growing season to monitor performance and target management activities. • Crop identification and mapping to support biosecurity, resource planning and market intelligence needs.

Publications

Trace Coherence: A New Operator for Polarimetric and Interferometric SAR images (2017-04)
Marino, Armando
IEEE Transactions on Geoscience and Remote Sensing, 55(4) (pp. 2326-2339)
Offshore Metallic Platforms Observation Using Dual-Polarimetric TS-X/TD-X Satellite Imagery: A Case Study in the Gulf of Mexico (2017)
Marino, Armando; Velotto, Domenico and Nunziata, Ferdinando
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing ((Early Access))
A Depolarization Ratio Anomaly Detector to identify icebergs in sea ice using dual-polarization SAR images (2016-06-15)
Marino, Armando; Dierking, Wolfgang and Christine, Wesche
IEEE Transactions on Geoscience and Remote Sensing, 54(9) (pp. 5602-5615)
Ship detection with TanDEM-X data extending the Polarimetric Notch Filter (2015-10)
Marino, Armando and Hajnsek, Irena
IEEE Geoscience and Remote Sensing Letters, 12(10) (pp. 2160-2164)
Statistical tests for a ship detector based on the Polarimetric Notch Filter (2015-08)
Marino, Armando and Hajnsek, Irena
IEEE Transactions on Geoscience and Remote Sensing, 53(8) (pp. 4578-4595)
Ship detection with spectral analysis of synthetic aperture radar: a comparison of new and well-known algorithms (2015-04-30)
Marino, Armando; Sanjuan-Ferrer, Maria J.; Hajnsek, Irena and Ouchi, Kazuo
Remote Sensing, 7(5) (pp. 5416-5439)
Validating a notch filter for detection of targets at sea with ALOS-PALSAR data: Tokyo Bay (2014-12)
Marino, Armando; Sugimoto, Mitsunobu ; Ouchi, Kazuo and Hajnsek, Irena
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 7(12) (pp. 4907-4918 )
A change detector based on an optimization with polarimetric SAR imagery (2014-08)
Marino, Armando and Hajnsek, Irena
IEEE Transactions on Geoscience and Remote Sensing, 52(8) (pp. 4781-4798 )
A notch filter for ship detection with polarimetric SAR data (2013-06-17)
Marino, Armando
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 6(3) (pp. 1219-1232)
A new polarimetric change detector in radar imagery (2013-05)
Marino, Armando; Cloude, Shane R. and Lopez-Sanchez, Juan M.
IEEE Transactions on Geoscience and Remote Sensing, 51(5) (2986 -3000)
Detecting depolarized targets using a new geometrical perturbation filter (2012-10)
Marino, Armando; Cloude, Shane and Woodhouse, Iain
IEEE Transactions on Geoscience and Remote Sensing, 50(10) (pp. 3787-3799)
A polarimetric target detector using the Huynen fork (2010-05)
Marino, Armando; Cloude, Shane and Woodhouse, Iain
IEEE Transactions on Geoscience and Remote Sensing, 48(5) (pp. 2357-2366 )
A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR) (2012)
Marino, Armando
Springer Theses
ISBN : 9783642271625 | Publisher : Springer | Published : Heidelberg

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