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ARCANA: Enhancing Arctic Maritime Operations Through Integrated Aerial and Satellite Sensing with Advanced Machine Learning

ARCANA: Enhancing Arctic Maritime Operations Through Integrated Aerial and Satellite Sensing with Advanced Machine Learning

, Foto: Tom Rune Lauknes, NORCE, 2020 0803 113322 1414, ,

Foto: Tom Rune Lauknes, NORCE

Contact

Tom Rune Lauknes

Senior Researcher - Tromsø

tlau@norceresearch.no
+47 918 58 817

Project facts

Status

Active

Duration

01.06.25 - 31.05.28

Location

Tromsø

Coordinating institution

NORCE

Funding

Office of Naval Research

The ARCANA project introduces a new approach to improving maritime operations in the Arctic, addressing the increasing need for enhanced situational awareness resulting from growing maritime activity and accelerating climate change. As Arctic se routes gradually open, advanced navigation and monitoring systems become essential for safe and sustainable operations.

Satellite-based Synthetic Aperture Radar (SAR), particularly open access data from Copernicus Sentinel-1 mission, is a cornerstone national ice services due to its ability to acquire imagery independent of weather and daylight. Mariners rely on ice information derived from these services, and some use SAR imagery directly for navigation. However, current SAR satellites are limited by insufficient temporal coverage, typically providing only one or a few images per day.

Rapid and highly dynamic sea-ice conditions in the Arctic can render satellite images outdated within hours, reducing spatial awareness during navigation. ARCANA aims to combine the strengths of two complementary sensing approaches: satellite SAR imagery, which offers broad coverage regardless of environmental conditions, and high-resolution optical observations collecte4d from airborne platforms. By integrating these data sources, ARCANA can update and refine wide-area SAR images with more timely and detailed optical data acquired from the air. This enables a more accurate and up-to-date representation of sea-ice and ocean conditions—particularly important in the Arctic, where ice drifts rapidly and direct observations are inpractical.

The project employs dual-modality imaging systems together with advanced machine learning techniques for image enhancement, extraction of ke parameters, and dynamic image alignment. The main goal is to increase the precision and operational utility of satellite SAR data for near-real-time navigation in drifting sea ice, aiming for a Technology Readiness Level (TRL) of 4–5.

By integrating airborne and satellite observations with cutting-edge machine learning, ARCANA strenghens maritime safety and situational awareness in the Arctic. The project provides navigational tools and environmental insights that support safer maritime operations in a region of growing strategic and economic importance.

Overarching Goal of the ARCANA Project: Enhance maritime navigational safety and operational efficiency by developing and integrating machine learning techniques that combine optical data from airborne platforms with satellite-based SAR imagery. This integration aims to improve navigation methods in ice-covered Arctic waters by dynamically updating and repositioning SAR images to provide more accurate situational information.

Specific Objectives:

  1. Advance machine-learning techniques for combining optical and SAR imagery of sea ice: Develop advanced machine-learning models and algorithms to extract and analyze key parameters from integrated optical and SAR datasets, tailored to Arctic sea-ice conditions.
  2. Improve SAR image adjustment using keypoints derived from optical imagery: Develop methods for the dynamic warping and repositioning of satellite SAR images based on keypoints derived from airborne optical images.
  3. Promote international collaboration and data sharing: Engage with global partners through ICE-PPR network to exchange data, methodologies, and scientific insights, strengthening the international collaborative framework.
  4. Support strategic Arctic and maritime interests: Strengthen the operational capabilities of naval and maritime actors in the Arctic by providing improved tools for navigation and environmental intelligence.

Researchers

Tom Rune Lauknes

Senior Researcher - Tromsø

tlau@norceresearch.no
+47 918 58 817

Stian Normann Anfinsen

Research Professor - Tromsø

stia@norceresearch.no
+47 56 10 78 43
+47 906 56121 (mobile phone)

Sigurd Løkse

Researcher - Tromsø

sigl@norceresearch.no
+47 56 10 78 59

Agnar Sivertsen

Senior Researcher - Tromsø

agsi@norceresearch.no
+47 918 38 463

Contact

Tom Rune Lauknes

Senior Researcher - Tromsø

tlau@norceresearch.no
+47 918 58 817