Research and Development

Geomorph Imaging Solutions develops and implements advanced subsurface imaging methodologies with a strong orientation toward collaborative research, technological innovation, and funded project participation. Our R&D strategy is proposal-driven and structured around real-world geophysical challenges submitted within national and European research frameworks. We position ourselves as a technical implementation partner, contributing specialized expertise in high-resolution Ground Penetrating Radar (GPR), multi-method geophysical integration, and advanced subsurface data modeling.

Advanced Ground Penetrating Radar Methodologies

Our research activity in Ground Penetrating Radar (GPR) focuses on systematically enhancing system performance through methodological optimization and subsurface modeling refinement. This includes the integration of multi-frequency antenna strategies to balance resolution and penetration depth, the design of high-density acquisition grids for improved spatial accuracy, and the modeling of deep-penetration configurations adapted to complex geological settings. We continuously refine adaptive time-window selection, signal gain calibration, and velocity model estimation, incorporating dielectric characterization to improve depth conversion reliability. Through these developments, our research aims to increase target resolution and discrimination capacity, enhance quantitative depth estimation accuracy, strengthen the reliability of 3D volumetric reconstructions, and support more robust subsurface anomaly classification. We are particularly interested in collaborative research projects that investigate the operational limits of GPR in challenging environments, including heterogeneous soils, dense urban substrates, and culturally sensitive heritage sites where non-invasive precision diagnostics are critical.

3D Subsurface Imaging & Digital Reconstruction

A central pillar of our R&D strategy is the transformation of raw geophysical measurements into structured, high-resolution digital subsurface models capable of supporting multidisciplinary research and engineering decision-making. Our technical approach incorporates 3D voxel-based reconstruction methodologies, amplitude slice mapping, and advanced attribute extraction workflows designed to reveal spatial patterns within complex datasets. We apply time-slice statistical analysis and cross-sectional correlation modeling to enhance interpretative consistency and reduce ambiguity in stratigraphic and anomaly interpretation. All outputs are developed to be fully compatible with GIS and BIM environments, enabling seamless integration into broader digital engineering and heritage documentation platforms. Through these capabilities, we aim to participate in collaborative projects focused on the development of digital twins of underground infrastructure, smart city subsurface mapping frameworks, infrastructure resilience diagnostics, and large-scale archaeological landscape reconstruction initiatives.

AI-Assisted Interpretation & Semi-Automated Analysis

An emerging priority within our R&D framework is the integration of machine learning methodologies into geophysical interpretation workflows in order to enhance analytical efficiency, reproducibility, and objectivity. Our research direction targets the development of pattern recognition techniques for radargram analysis, automated anomaly detection systems, and supervised classification models capable of distinguishing subsurface feature typologies within complex datasets. We also investigate algorithmic approaches to signal filtering optimization, aiming to improve signal-to-noise ratios while preserving diagnostically relevant information. A core objective is the systematic reduction of operator-dependent bias in interpretation through semi-automated analytical pipelines that combine geophysical expertise with data-driven modeling. We actively seek partnerships with data science teams, applied mathematics groups, and academic research institutions to co-develop AI tools specifically adapted to the particular characteristics of shallow geophysics datasets, where signal variability and environmental heterogeneity present unique computational challenges.

Cultural Heritage & Non-Invasive Diagnostics

Geomorph Imaging Solutions contributes to research initiatives focused on the non-invasive investigation and preservation of cultural heritage assets through advanced geophysical methodologies. Our work supports non-destructive diagnostics of historical structures, the detection and mapping of voids, cavities, and buried architectural remains, as well as the assessment of subsurface moisture dynamics and deterioration processes that may threaten structural stability. We emphasize preventive conservation strategies enabled by systematic subsurface monitoring, allowing early identification of risk factors before irreversible damage occurs. Within heritage-oriented funding schemes, we provide field implementation expertise, acquisition protocol design tailored to sensitive environments, and high-resolution interpretation workflows that integrate seamlessly with architectural, archaeological, and conservation research frameworks.

Proposal-Driven R&D Structure

Our research contribution model includes:

✔ Definition of site-specific geophysical methodology
✔ Field implementation and acquisition optimization
✔ Processing protocol development
✔ 3D visualization and reporting standardization
✔ Integration into multidisciplinary research workflows

Alignment with European Research Priorities

Geomorph Imaging Solutions is strategically aligned with research themes addressing infrastructure monitoring and resilience, cultural heritage protection, climate adaptation and subsurface risk assessment, urban underground management, and the smart digital transformation of civil engineering practices. Our expertise supports multidisciplinary initiatives that seek to reduce subsurface uncertainty and improve evidence-based decision-making in both public and private sector environments. We are open to participation in Horizon Europe consortia, national research frameworks, cross-border innovation programs, and applied industrial research collaborations where advanced geophysical investigation constitutes a core technical component. Within such initiatives, our role typically includes technical leadership in geophysical survey design, acquisition protocol optimization, advanced data processing, and high-resolution interpretation integrated into broader engineering, environmental, or heritage research workflows.

Technical Infrastructure & Research Capacity

Our R&D capability is supported by professional-grade Ground Penetrating Radar systems with multi-frequency operational flexibility, enabling adaptation to diverse geological and structural contexts. We operate within advanced processing and 3D modeling software environments that facilitate volumetric reconstruction, attribute analysis, and quantitative interpretation. Our workflows are fully compatible with GIS platforms and digital engineering environments, ensuring seamless integration into multidisciplinary project structures. Additionally, we maintain structured data archiving systems designed to support longitudinal research use, reproducibility studies, and methodological benchmarking. Across all research activities, we emphasize reproducibility, methodological transparency, controlled acquisition standards, and rigorous field-based validation to ensure scientific robustness and long-term applicability of results.

Research Collaboration

We welcome collaboration with:

Universities and applied research laboratories

Engineering and geotechnical research groups

Heritage conservation institutes

Data science and AI research teams

Public agencies managing underground assets

Geomorph Imaging Solutions seeks to function not merely as a service provider but as an active R&D contributor within structured research ecosystems