Overview of the project
PERSEO's main objective is to evaluate the applicability of PRISMA hyperspectral data in the field of Cultural Heritage, specifically in identifying unknown subsoil CH sites, settlements, landscape infrastructures, and monuments. To accomplish this research agenda successfully, the project will pursue the following specific objectives:
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Develop new and enhance existing super-resolution methods for hyperspectral images (HSIs) to enhance their spatial resolution.
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Design an unsupervised Deep Learning architecture for anomaly detection, enabling automatic identification of sub-surface or hidden Cultural Heritage sites using Earth Observation (EO) hyperspectral data.
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Implement an AI software library that automatically detects sub-surface Cultural Heritage sites from EO data.
The project has a duration of 24 months and encompasses scientific activities divided into 6 Work Packages (WPs).
Work Breakdown Structure (WBS)
The work packages are grouped into two nodes: Node 1000, which focuses on scientific development, and Node 2000, which covers management and outreach.
Node 1000: Scientific Development
WP 1: Aims to identify user scenarios, detect user requirements, and characterize and select archaeological sites of interest. This work package sets the foundation for the research conducted in the subsequent work packages.
WP 2: The development of super-resolution methods for HSIs focuses on exploring existing techniques and developing new image fusion methods to enhance the spatial resolution of provided hyperspectral images. Additionally, it involves utilizing PAN data to develop a semi-blind image fusion technique.
WP 3: Machine learning for automated detection concentrates on developing anomaly detection algorithms for hyperspectral images. The goal is to automatically detect subsoil Cultural Heritage sites by leveraging the labelled archaeological features detected through visual inspection of PRISMA images and other high-resolution multispectral images.
WP 4: Photointerpretation and validation (including ground-truthing) involve detecting new archaeological features through visual inspection and analyzing the features of interest extracted through the automated detection Machine Learning method from WP3. The aim is to validate these potential archaeological features by mapping them in a preliminary Map of Archaeological Impact Assessment.
Node 2000: Management and Outreach
WP 5: Project Management ensures the necessary coordination of research activities. It involves monitoring the project's progress through periodic evaluations and maintaining contact with ASI through the project coordinator.
WP 6: Dissemination, Communication, and Exploitation aim to maximize the impact of PERSEO through effective communication and outreach campaigns targeting various audiences. It involves disseminating the project's scientific and technological results and ensuring the sustainability of the project's outcomes.