Ship detection and classification pose significant challenges in remote sensing. The potent
feature extraction capabilities of deep learning algorithms render them pivotal for these …

In the context of ship monitoring in the ocean, targets are usually sparsely distributed. Thus,
synthetic aperture radar (SAR) imaging of the whole scene is usually quite redundant and …

The utilization of Synthetic Aperture Radar (SAR) for real-time ship detection proves highly
advantageous in the supervision and monitoring of maritime activities. Ship detection in the …

Conventional ship detection using synthetic aperture radar (SAR) is typically limited to fully-
focused SAR images, limiting the development of real-time SAR ship detection. Ship …

Traditionally, synthetic aperture radar (SAR)-based ship target detection is performed in the
image domain, where SAR imaging processing has to be applied first. However, SAR …

Range-Doppler (RD) imaging has eclipsed synthetic aperture radar (SAR) imaging as the
latest hotspot in the field of radar image object detection, owing to its low cost, high speed …

Timely monitoring of ships is imperative for ensuring the safety and security of maritime
operations. Ship detection in synthetic aperture radar (SAR) is typically applicable to …

The increase in the use of sea water is the basis for the development of the existing security
systems in given areas. Monitoring the navigational situation in a given water area is one of …

In this paper, a hybrid weight design and optimization mechanism is proposed to ensure a
better application effect in the multi-level weighted evaluation/optimization process of …

环境感知是海上目标智能化监测的核心技术, 广泛应用于军事与工业领域. 深度学习为环境感知
研究带来新活力, 但目前该领域缺乏全面性的综述. 从深度学习, 环境感知与视觉方法的交叉点 …