Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors

TL;DR

This paper compares optical and hyperspectral satellite sensors for ship detection, analyzing their features, methods, and suitability to improve detection accuracy in maritime surveillance applications.

Contribution

It provides a comprehensive comparison of optical and hyperspectral sensors, highlighting their strengths, limitations, and optimal use cases for ship detection and classification.

Findings

Optical sensors excel in high-resolution imaging for ship detection.

Hyperspectral sensors offer better material discrimination in complex environments.

Integrated strategies enhance detection accuracy across different maritime scenarios.

Abstract

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.