Nov 14, 2021 · A deep-learning approach is implemented to specifically detect ship wakes without any a-priori knowledge or cuing about the location of the vessel that ...

Detailed Record ; Title: First Results on Wake Detection in SAR Images by Deep Learning. ; Language: English ; Authors: Del Prete, Roberto1 (AUTHOR) mariadaniela.

Nov 13, 2021 · Supplementary Materials of the paper "First Results on Wake Detection in SAR Images by Deep Learning" published on MDPI - Remote Sensing.

Mar 30, 2024 · Experimental results show that the developed lightweight network achieves accurate and stable detection of ships and wakes in the dataset, and ...

Deep learning algorithms have been applied to target detection in SAR images and have achieved important results in coastline detection (Cheng et al., 2017; ...

First Results of Ship Wake Detection by Deep Learning ... A Method of Ship Wake Detection in SAR Images Based on Reconstruction Features and Anomaly Detector.

This review aims to provide the first thorough overview of ship wake detection solutions, highlighting the key ideas behind traditional applications.

Feb 4, 2023 · We propose a model to straight extract ship size from Synthetic Aperture Radar (SAR) images. The model is named as SSENet.

Jun 1, 2024 · In this paper, we explore YOLOv5, YOLOv7, YOLOv8, and transformer based detector RT-DETR on ship detection in SAR images using the LS-SSDD-v1.0 ...

The results show that the features were correctly classified in 78.5% of cases, whereas false confirmations occur mainly on Kelvin cusps. Finally, the results ...