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Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection
by
Kovacic, Samuel
, Enguita, Sergio Pallas
, Jiang, Jiajun
, Lebel, Richard
, Chen, Chung-Hao
in
Automation
/ Ballast tanks
/ Case studies
/ Coatings
/ Corrosion
/ Forecasts and trends
/ GDP
/ Geospatial data
/ Gross Domestic Product
/ Hyperspectral imaging
/ Infrared signatures
/ Inspection
/ Inspections
/ Lidar
/ Maintenance costs
/ Maritime industry
/ Optical radar
/ Remote sensing
/ Risk management
/ Sensors
/ Spectral signatures
/ Steel
/ Surface properties
/ Unmanned aerial vehicles
2025
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Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection
by
Kovacic, Samuel
, Enguita, Sergio Pallas
, Jiang, Jiajun
, Lebel, Richard
, Chen, Chung-Hao
in
Automation
/ Ballast tanks
/ Case studies
/ Coatings
/ Corrosion
/ Forecasts and trends
/ GDP
/ Geospatial data
/ Gross Domestic Product
/ Hyperspectral imaging
/ Infrared signatures
/ Inspection
/ Inspections
/ Lidar
/ Maintenance costs
/ Maritime industry
/ Optical radar
/ Remote sensing
/ Risk management
/ Sensors
/ Spectral signatures
/ Steel
/ Surface properties
/ Unmanned aerial vehicles
2025
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Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection
by
Kovacic, Samuel
, Enguita, Sergio Pallas
, Jiang, Jiajun
, Lebel, Richard
, Chen, Chung-Hao
in
Automation
/ Ballast tanks
/ Case studies
/ Coatings
/ Corrosion
/ Forecasts and trends
/ GDP
/ Geospatial data
/ Gross Domestic Product
/ Hyperspectral imaging
/ Infrared signatures
/ Inspection
/ Inspections
/ Lidar
/ Maintenance costs
/ Maritime industry
/ Optical radar
/ Remote sensing
/ Risk management
/ Sensors
/ Spectral signatures
/ Steel
/ Surface properties
/ Unmanned aerial vehicles
2025
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Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection
Journal Article
Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection
2025
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Overview
Corrosion in maritime ballast tanks is a major driver of maintenance costs and operational risks for maritime assets. Inspections are hampered by complex geometries, hazardous conditions, and the limitations of conventional methods, particularly visual assessment, which struggles with subjectivity, accessibility, and early detection, especially under coatings. This paper critically examines these challenges and explores the potential of Light Detection and Ranging (LiDAR) and Hyperspectral Imaging (HSI) to form the basis of improved inspection approaches. We discuss LiDAR’s utility for accurate 3D mapping and providing a spatial framework and HSI’s potential for objective material identification and surface characterization based on spectral signatures along a wavelength range of 400-1000nm (visible and near infrared). Preliminary findings from laboratory tests are presented, demonstrating the basic feasibility of HSI for differentiating surface conditions (corrosion, coatings, bare metal) and relative coating thickness, alongside LiDAR’s capability for detailed geometric capture. Although these results do not represent a deployable system, they highlight how LiDAR and HSI could address key limitations of current practices and suggest promising directions for future research into integrated sensor-based corrosion assessment strategies.
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