Dr. Marius Necsoiu Profile

Dr. Marius Necsoiu

Research Lead at CCDC US Army Research Lab

SPIE Involvement:

Conference Program Committee | Author

Area of Expertise:

Radar Imagery , Distributed Sensing , Interferometry , EM Spectrum Control , Adaptive/Cognitive Signal Processing , Environmental Sciences

Websites:

Company Website

Broad experience and expertise in remote sensing, AI/ML, and geospatial technologies focusing on dynamic processes and characterization of electromagnetic environment behavior.

Proceedings Article | 7 June 2024 Poster + Paper

Utilizing terrain-generation to derive realistic channel models for automatic modulation recognition

Kenneth Witham, Nishanth Marer Prabhu, Aly Sultan, Marius Necsoiu, Chad Spooner, Gunar Schirner

Proceedings Volume 13035, 130351B (2024) https://doi.org/10.1117/12.3013507

KEYWORDS: Modulation, Quadrature amplitude modulation, Machine learning, Receivers

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Proceedings Article | 3 May 2019 Paper

Satellite radar interferometry using micro-retroreflective arrays

Marius Necsoiu, Emilio Martinez, B. David Moore

Proceedings Volume 11003, 1100311 (2019) https://doi.org/10.1117/12.2517626

KEYWORDS: Reflectors, Satellites, Radar, Chromium, Synthetic aperture radar, Interferometric synthetic aperture radar, Coherence (optics), Interferometry, Satellite imaging, Target detection

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Advances in space-based geospatial remote sensing technologies, especially interferometric synthetic aperture radar (InSAR), have enabled precise monitoring of land surface deformations due to geologic and human processes such as earthquakes, volcanoes, and mining. The success of infrastructure monitoring using InSAR techniques is sometimes limited because a distinguishable radar target is not located at the specific point of interest. To overcome this limitation corner reflectors (CRs) are typically employed to provide detectable, measurable targets at the desired locations. However, CRs are cumbersome three-dimensional structures that are difficult to install and align on infrastructure in an inconspicuous manner that also preserve the aesthetic and structural integrity of the installation site. In this research we developed and tested a two-dimensional Van Atta (VA) array retro-reflector to replace the conventional CR in InSAR remote sensing applications. The two-dimensional retro-reflective array can be discreetly flush mounted onto new or existing infrastructure, thereby preserving the aesthetics of the installation site, and will be less vulnerable to vandalism or damage from the elements (rain, snow, wind). A novel antenna element composed of micro-strip patches and Substrate Integrated Waveguides (SIW) was developed and used in the VA array design. Electromagnetic modeling and simulation using the FEKO code was performed to streamline the design process. To investigate array performance versus Radar Cross Section (RCS), a reconfigurable array, based on an elemental (16 x 16 element) array panel, was employed. Increasing or decreasing the number of panels used to assemble the array increased or decreased the RCS. We designed and fabricated nine VA arrays which were assembled into various multi-panel VA geometries. RCS and retroreflective beam pattern were measured in the lab to confirm that they met the design specifications. Field validation was performed on the VA arrays, in addition to a reference corner reflector, custom designed for this project. Multiple high resolution TerraSAR-X satellite images have been acquired, processed, and analyzed using existing COTS software and routines developed at SwRI. Results indicate that the Van Atta arrays are a viable alternative to CRs and can be potentially employed in a variety of applications including military, hazard reduction and climate change.

Proceedings Article | 1 May 2017 Paper

Using TerraSAR-X satellite data to detect road age and degradation

Marius Necsoiu, Nicolas Longepe, Jorge Parra, Gary Walter

Proceedings Volume 10188, 101881I (2017) https://doi.org/10.1117/12.2262704

KEYWORDS: Roads, Radar, Satellites, Backscatter, Synthetic aperture radar, Image filtering, Inspection, Interferometric synthetic aperture radar, Data acquisition, Satellite imaging

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Proceedings Article | 21 December 1994 Paper

Preliminary results in use of ERS-1 imagery for Black Sea coastal studies

Marius Necsoiu, Samuel Atkinson

Proceedings Volume 2316, (1994) https://doi.org/10.1117/12.197537

KEYWORDS: Synthetic aperture radar, Digital filtering, Backscatter, Image filtering, Remote sensing, Radar, Data acquisition, Data processing, Speckle, Image processing

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Proceedings Article | 26 October 1994 Paper

Use of ERS-1 and Landsat imagery for monitoring coastal water properties and current circulation

Marius Necsoiu, Cora Braescu, N. Oprescu, V. Diaconu, M. Burca

Proceedings Volume 2258, (1994) https://doi.org/10.1117/12.190079

KEYWORDS: Synthetic aperture radar, Landsat, Digital filtering, Ocean optics, Image processing, Water, Radar, Gaussian filters, Image segmentation, Earth observing sensors

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Conference Committee Involvement (8)

Radar Sensor Technology XXIX

13 April 2025 | Orlando, Florida, United States

Radar Sensor Technology XXVIII

22 April 2024 | National Harbor, Maryland, United States

Radar Sensor Technology XXVII

1 May 2023 | Orlando, Florida, United States

Radar Sensor Technology XXVI

4 April 2022 | Orlando, Florida, United States

Radar Sensor Technology XXV

12 April 2021 | Online Only, Florida, United States

Showing 5 of 8 Conference Committees

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