Workpackages

WP 1.1. The report identifies and characterizes  types of risk specific to maritime conflict zones - a series of actions were undertaken, namely: (a) critical analysis of the legislative framework; (b) analysis of the systems located in the coastal/port maritime zone; (c) bibliographic research focused on the study of the issues associated with the components of the systems in the coastal/port maritime zones in the Black Sea.

WP 1.2. The report analyzed available IMINT data sources for the use of AI techniques – GEOINT/IMINT data sources were identified and evaluated: optical satellite sensors / SAR, maritime / aerial drones, other data sources. Also, different data annotation techniques were analyzed for training AI models, taking into account the small volume of existing annotated data.

WP 1.3. Methodologies for IMINT data analysis have been developed, specifically, operational procedures for collecting and interpreting IMINT data.

WP 1.4. Satellite data sources have been identified. Both optical and radar sensors are considered, and specific requests to data providers have been formulated.

WP 1.5. A hydrodynamic model was generated for monitoring a floating mine using specific software - the model has been created using specific open-source libraries.

WP 1.6. Analysis and comparison of state-of-the-art AI algorithms developed for geospatial intelligence - an in-depth analysis has been performed. 

WP 1.7. Several AI algorithms for object detection and classification have been implemented and compared against other methods in the literature.

WP 1.8. Development of the spatial monitoring of areas of interest (3D).

WP 1.9. Several use-cases, specific to the Black Sea region, have been defined and discussed in the extended report.

WP 2.1. The capabilities of current observation systems, both GEOINT and IMINT, in relation to risk detection requirements have been described.

WP 2.2. The operational procedures for the collection, analysis and dissemination of IMINT information have been presented in the extended report. 

WP 2.3. The capacity of current observation systems is still limited and requires improvement by integrating multiple data sources.

WP 2.4. Methods and workflows for planning operations to eliminate risks and limit the possibilities of effects have been development and discussed in the extended report.

WP 2.5. The AI algorithms for object monitoring have been improved, with an almost real-time processing. 

WP 2.6 Short-medium term anomalies have been identified from satellite data (e.g., particular floating objects).

 WP 2.7 The temporal component has been integrated in the system.

WP 2.8. The trajectory of floating sea mines is simulated using open-source software packages and the developed AI algorithms are used for the monitoring in video sequences.

WP 2.9. A system based on autonomous air (UAV) and sea (UAS) vehicles is integrated for the identification of sea mines as a possible support for intervention teams.

WP2.10. The information extracted from satellite data has been integrated into the operational flow.

WP 2.11. A maritime situational awareness map was designed, with a focus on specific areas of interest.

WP 2.12 The initial version of the 5D system was implemented.

WP 2.13 The proposed methods have been tested and validated and followed by feedback formulation.

WP 2.14. The feedback received has been integrated into the proposed solution.

WP 2.15. Use-cases have been conceptualized and an analysis of the impact of the proposed solution has been made.

WP 2.16. The proposed techniques and concepts have been integrated into the use-cases.