Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
This is an incremental analysis for marine surveillance applications in military and civilian domains.
This paper tackles the problem of ship detection and classification in marine surveillance by comparing optical and hyperspectral remote sensing approaches, aiming to improve detection accuracy through integrated strategies.
In marine surveillance, applications span military and civilian domains, including ship detection, marine traffic control, and disaster management. Optical and hyperspectral satellites are key for this purpose. This paper focuses on ship detection and classification techniques, particularly comparing optical and hyperspectral remote sensing approaches. It presents a comprehensive analysis of these technologies, covering feature extraction, methodologies, and their suitability for different missions. The study highlights the importance of selecting the right sensor aligned with mission objectives and conditions, aiming to improve detection accuracy through integrated strategies. The paper examines the strengths and limitations of both technologies in various maritime applications, enhancing understanding of their usability in different operational scenarios.